12477 lines
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12477 lines
3.3 MiB
/data02/users/lz/miniconda3/envs/cpm/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
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return self.fget.__get__(instance, owner)()
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/data02/users/lz/miniconda3/envs/cpm/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
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return self.fget.__get__(instance, owner)()
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/data02/users/lz/miniconda3/envs/cpm/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
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return self.fget.__get__(instance, owner)()
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/data02/users/lz/miniconda3/envs/cpm/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
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return self.fget.__get__(instance, owner)()
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Map (num_proc=16): 100%|██████████| 200/200 [00:01<00:00, 133.87 examples/s]{'input': "Write a python function to generate a bot response for a user message using random choice.\nassert generate_bot_response('hello') in ['Hi', 'Hi there', 'Hello, how are you?', 'Hey there']\nassert generate_bot_response('exit') == None", 'output': 'import random\n\ndef generate_bot_response(user_message):\n responses = {\n \'hello\': [\'Hi\', \'Hi there\', \'Hello, how are you?\', \'Hey there\'],\n \'exit\': None\n }\n \n if user_message in responses:\n if responses[user_message] is None:\n return None\n return random.choice(responses[user_message])\n return "I\'m not sure how to respond to that."', 'input_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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|
||
Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
||
Map (num_proc=16): 100%|██████████| 200/200 [00:02<00:00, 86.10 examples/s]
|
||
Map (num_proc=16): 100%|██████████| 200/200 [00:02<00:00, 98.31 examples/s]
|
||
Map (num_proc=16): 100%|██████████| 200/200 [00:02<00:00, 92.23 examples/s]
|
||
wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.
|
||
wandb: Tracking run with wandb version 0.18.6
|
||
wandb: W&B syncing is set to `offline` in this directory.
|
||
wandb: Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
|
||
0%| | 0/11526 [00:00<?, ?it/s][W reducer.cpp:1346] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
|
||
[W reducer.cpp:1346] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
|
||
[W reducer.cpp:1346] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
|
||
[W reducer.cpp:1346] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
|
||
0%| | 1/11526 [00:01<5:15:28, 1.64s/it]
{'loss': 1.0949, 'grad_norm': 3.4261324405670166, 'learning_rate': 8.673026886383348e-09, 'epoch': 0.0}
|
||
0%| | 1/11526 [00:01<5:15:28, 1.64s/it]
0%| | 2/11526 [00:02<3:12:09, 1.00s/it]
{'loss': 1.0156, 'grad_norm': 2.793147563934326, 'learning_rate': 1.7346053772766696e-08, 'epoch': 0.0}
|
||
0%| | 2/11526 [00:02<3:12:09, 1.00s/it]
0%| | 3/11526 [00:02<2:38:27, 1.21it/s]
{'loss': 0.8763, 'grad_norm': 2.143695116043091, 'learning_rate': 2.6019080659150047e-08, 'epoch': 0.0}
|
||
0%| | 3/11526 [00:02<2:38:27, 1.21it/s]
0%| | 4/11526 [00:03<2:22:34, 1.35it/s]
{'loss': 0.8775, 'grad_norm': 2.126295804977417, 'learning_rate': 3.469210754553339e-08, 'epoch': 0.0}
|
||
0%| | 4/11526 [00:03<2:22:34, 1.35it/s]
0%| | 5/11526 [00:04<2:13:52, 1.43it/s]
{'loss': 0.9212, 'grad_norm': 2.863893747329712, 'learning_rate': 4.336513443191674e-08, 'epoch': 0.0}
|
||
0%| | 5/11526 [00:04<2:13:52, 1.43it/s]
0%| | 6/11526 [00:04<2:08:42, 1.49it/s]
{'loss': 0.8643, 'grad_norm': 1.941997766494751, 'learning_rate': 5.203816131830009e-08, 'epoch': 0.0}
|
||
0%| | 6/11526 [00:04<2:08:42, 1.49it/s]
0%| | 7/11526 [00:05<2:05:15, 1.53it/s]
{'loss': 0.9857, 'grad_norm': 2.772730588912964, 'learning_rate': 6.071118820468345e-08, 'epoch': 0.0}
|
||
0%| | 7/11526 [00:05<2:05:15, 1.53it/s]
0%| | 8/11526 [00:05<2:03:10, 1.56it/s]
{'loss': 0.8731, 'grad_norm': 2.11067533493042, 'learning_rate': 6.938421509106678e-08, 'epoch': 0.0}
|
||
0%| | 8/11526 [00:06<2:03:10, 1.56it/s]
0%| | 9/11526 [00:06<2:01:50, 1.58it/s]
{'loss': 0.9733, 'grad_norm': 2.9080772399902344, 'learning_rate': 7.805724197745014e-08, 'epoch': 0.0}
|
||
0%| | 9/11526 [00:06<2:01:50, 1.58it/s]
0%| | 10/11526 [00:07<2:00:47, 1.59it/s]
{'loss': 0.855, 'grad_norm': 2.449317216873169, 'learning_rate': 8.673026886383348e-08, 'epoch': 0.0}
|
||
0%| | 10/11526 [00:07<2:00:47, 1.59it/s]
0%| | 11/11526 [00:07<2:00:09, 1.60it/s]
{'loss': 0.9987, 'grad_norm': 2.7982800006866455, 'learning_rate': 9.540329575021684e-08, 'epoch': 0.0}
|
||
0%| | 11/11526 [00:07<2:00:09, 1.60it/s]
0%| | 12/11526 [00:08<1:59:40, 1.60it/s]
{'loss': 1.0395, 'grad_norm': 3.0237698554992676, 'learning_rate': 1.0407632263660019e-07, 'epoch': 0.0}
|
||
0%| | 12/11526 [00:08<1:59:40, 1.60it/s]
0%| | 13/11526 [00:08<1:59:19, 1.61it/s]
{'loss': 0.9886, 'grad_norm': 2.75026798248291, 'learning_rate': 1.1274934952298352e-07, 'epoch': 0.0}
|
||
0%| | 13/11526 [00:09<1:59:19, 1.61it/s]
0%| | 14/11526 [00:09<1:59:16, 1.61it/s]
{'loss': 1.0184, 'grad_norm': 2.9731454849243164, 'learning_rate': 1.214223764093669e-07, 'epoch': 0.0}
|
||
0%| | 14/11526 [00:09<1:59:16, 1.61it/s]
0%| | 15/11526 [00:10<1:59:02, 1.61it/s]
{'loss': 1.078, 'grad_norm': 3.5550379753112793, 'learning_rate': 1.3009540329575022e-07, 'epoch': 0.0}
|
||
0%| | 15/11526 [00:10<1:59:02, 1.61it/s]
0%| | 16/11526 [00:10<1:58:52, 1.61it/s]
{'loss': 0.893, 'grad_norm': 3.8476381301879883, 'learning_rate': 1.3876843018213356e-07, 'epoch': 0.0}
|
||
0%| | 16/11526 [00:10<1:58:52, 1.61it/s]
0%| | 17/11526 [00:11<1:58:50, 1.61it/s]
{'loss': 0.9109, 'grad_norm': 2.2631473541259766, 'learning_rate': 1.4744145706851694e-07, 'epoch': 0.0}
|
||
0%| | 17/11526 [00:11<1:58:50, 1.61it/s]
0%| | 18/11526 [00:12<1:58:41, 1.62it/s]
{'loss': 0.9527, 'grad_norm': 3.2427501678466797, 'learning_rate': 1.5611448395490029e-07, 'epoch': 0.0}
|
||
0%| | 18/11526 [00:12<1:58:41, 1.62it/s]
0%| | 19/11526 [00:12<1:58:50, 1.61it/s]
{'loss': 1.0022, 'grad_norm': 2.5299832820892334, 'learning_rate': 1.647875108412836e-07, 'epoch': 0.0}
|
||
0%| | 19/11526 [00:12<1:58:50, 1.61it/s]
0%| | 20/11526 [00:13<1:58:49, 1.61it/s]
{'loss': 0.9819, 'grad_norm': 2.721240520477295, 'learning_rate': 1.7346053772766696e-07, 'epoch': 0.01}
|
||
0%| | 20/11526 [00:13<1:58:49, 1.61it/s]
0%| | 21/11526 [00:13<1:58:42, 1.62it/s]
{'loss': 0.9274, 'grad_norm': 2.557347059249878, 'learning_rate': 1.821335646140503e-07, 'epoch': 0.01}
|
||
0%| | 21/11526 [00:14<1:58:42, 1.62it/s]
0%| | 22/11526 [00:14<1:58:29, 1.62it/s]
{'loss': 0.9244, 'grad_norm': 2.724199056625366, 'learning_rate': 1.9080659150043368e-07, 'epoch': 0.01}
|
||
0%| | 22/11526 [00:14<1:58:29, 1.62it/s]
0%| | 23/11526 [00:15<1:58:15, 1.62it/s]
{'loss': 0.8573, 'grad_norm': 2.356158494949341, 'learning_rate': 1.9947961838681703e-07, 'epoch': 0.01}
|
||
0%| | 23/11526 [00:15<1:58:15, 1.62it/s]
0%| | 24/11526 [00:15<1:58:25, 1.62it/s]
{'loss': 0.8442, 'grad_norm': 2.3353495597839355, 'learning_rate': 2.0815264527320037e-07, 'epoch': 0.01}
|
||
0%| | 24/11526 [00:15<1:58:25, 1.62it/s]
0%| | 25/11526 [00:16<1:58:15, 1.62it/s]
{'loss': 0.9984, 'grad_norm': 2.8589794635772705, 'learning_rate': 2.1682567215958372e-07, 'epoch': 0.01}
|
||
0%| | 25/11526 [00:16<1:58:15, 1.62it/s]
0%| | 26/11526 [00:17<1:58:12, 1.62it/s]
{'loss': 1.0249, 'grad_norm': 2.319955348968506, 'learning_rate': 2.2549869904596704e-07, 'epoch': 0.01}
|
||
0%| | 26/11526 [00:17<1:58:12, 1.62it/s]
0%| | 27/11526 [00:17<1:58:19, 1.62it/s]
{'loss': 0.9097, 'grad_norm': 2.331475257873535, 'learning_rate': 2.341717259323504e-07, 'epoch': 0.01}
|
||
0%| | 27/11526 [00:17<1:58:19, 1.62it/s]
0%| | 28/11526 [00:18<1:58:18, 1.62it/s]
{'loss': 0.9434, 'grad_norm': 2.422861099243164, 'learning_rate': 2.428447528187338e-07, 'epoch': 0.01}
|
||
0%| | 28/11526 [00:18<1:58:18, 1.62it/s]
0%| | 29/11526 [00:18<1:58:23, 1.62it/s]
{'loss': 0.8909, 'grad_norm': 2.466123580932617, 'learning_rate': 2.5151777970511714e-07, 'epoch': 0.01}
|
||
0%| | 29/11526 [00:19<1:58:23, 1.62it/s]
0%| | 30/11526 [00:19<1:58:19, 1.62it/s]
{'loss': 0.9338, 'grad_norm': 2.343005657196045, 'learning_rate': 2.6019080659150043e-07, 'epoch': 0.01}
|
||
0%| | 30/11526 [00:19<1:58:19, 1.62it/s]
0%| | 31/11526 [00:20<1:58:19, 1.62it/s]
{'loss': 0.9823, 'grad_norm': 2.707864999771118, 'learning_rate': 2.688638334778838e-07, 'epoch': 0.01}
|
||
0%| | 31/11526 [00:20<1:58:19, 1.62it/s]
0%| | 32/11526 [00:20<1:58:22, 1.62it/s]
{'loss': 1.0908, 'grad_norm': 3.574810028076172, 'learning_rate': 2.7753686036426713e-07, 'epoch': 0.01}
|
||
0%| | 32/11526 [00:20<1:58:22, 1.62it/s]
0%| | 33/11526 [00:21<1:58:20, 1.62it/s]
{'loss': 1.1014, 'grad_norm': 3.069289207458496, 'learning_rate': 2.862098872506505e-07, 'epoch': 0.01}
|
||
0%| | 33/11526 [00:21<1:58:20, 1.62it/s]
0%| | 34/11526 [00:21<1:58:29, 1.62it/s]
{'loss': 0.9573, 'grad_norm': 2.73120379447937, 'learning_rate': 2.948829141370339e-07, 'epoch': 0.01}
|
||
0%| | 34/11526 [00:22<1:58:29, 1.62it/s]
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{'loss': 0.9543, 'grad_norm': 2.78043270111084, 'learning_rate': 3.035559410234172e-07, 'epoch': 0.01}
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0%| | 35/11526 [00:22<1:58:27, 1.62it/s]
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{'loss': 0.9428, 'grad_norm': 3.141796827316284, 'learning_rate': 3.1222896790980057e-07, 'epoch': 0.01}
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{'loss': 1.0225, 'grad_norm': 3.2343151569366455, 'learning_rate': 3.2090199479618387e-07, 'epoch': 0.01}
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{'loss': 0.8858, 'grad_norm': 2.3611724376678467, 'learning_rate': 3.295750216825672e-07, 'epoch': 0.01}
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{'loss': 0.9635, 'grad_norm': 2.764070510864258, 'learning_rate': 3.3824804856895056e-07, 'epoch': 0.01}
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{'loss': 0.9833, 'grad_norm': 2.382430076599121, 'learning_rate': 3.469210754553339e-07, 'epoch': 0.01}
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{'loss': 0.9648, 'grad_norm': 2.3069510459899902, 'learning_rate': 3.5559410234171726e-07, 'epoch': 0.01}
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{'loss': 1.0278, 'grad_norm': 2.188366413116455, 'learning_rate': 3.642671292281006e-07, 'epoch': 0.01}
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{'loss': 0.8541, 'grad_norm': 2.3554527759552, 'learning_rate': 3.72940156114484e-07, 'epoch': 0.01}
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{'loss': 0.9811, 'grad_norm': 2.698211193084717, 'learning_rate': 3.8161318300086735e-07, 'epoch': 0.01}
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0%| | 44/11526 [00:28<1:58:35, 1.61it/s]
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{'loss': 0.9443, 'grad_norm': 2.33135724067688, 'learning_rate': 3.902862098872507e-07, 'epoch': 0.01}
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{'loss': 0.9664, 'grad_norm': 2.3470664024353027, 'learning_rate': 3.9895923677363405e-07, 'epoch': 0.01}
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{'loss': 1.0037, 'grad_norm': 2.3067004680633545, 'learning_rate': 4.076322636600174e-07, 'epoch': 0.01}
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{'loss': 0.8985, 'grad_norm': 2.5476326942443848, 'learning_rate': 4.1630529054640075e-07, 'epoch': 0.01}
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0%| | 48/11526 [00:30<1:58:21, 1.62it/s]
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{'loss': 0.8556, 'grad_norm': 2.472865104675293, 'learning_rate': 4.249783174327841e-07, 'epoch': 0.01}
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0%| | 49/11526 [00:31<1:58:27, 1.61it/s]
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{'loss': 1.0094, 'grad_norm': 2.755929708480835, 'learning_rate': 4.3365134431916744e-07, 'epoch': 0.01}
|
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0%| | 50/11526 [00:31<1:58:21, 1.62it/s]
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{'loss': 0.9995, 'grad_norm': 3.1631948947906494, 'learning_rate': 4.4232437120555074e-07, 'epoch': 0.01}
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0%| | 51/11526 [00:32<1:58:18, 1.62it/s]
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{'loss': 0.831, 'grad_norm': 2.4676876068115234, 'learning_rate': 4.509973980919341e-07, 'epoch': 0.01}
|
||
0%| | 52/11526 [00:33<1:58:13, 1.62it/s]
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{'loss': 0.8687, 'grad_norm': 2.0569050312042236, 'learning_rate': 4.5967042497831743e-07, 'epoch': 0.01}
|
||
0%| | 53/11526 [00:33<1:58:11, 1.62it/s]
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{'loss': 0.8908, 'grad_norm': 2.7526803016662598, 'learning_rate': 4.683434518647008e-07, 'epoch': 0.01}
|
||
0%| | 54/11526 [00:34<1:58:13, 1.62it/s]
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{'loss': 0.9405, 'grad_norm': 2.6636526584625244, 'learning_rate': 4.770164787510842e-07, 'epoch': 0.01}
|
||
0%| | 55/11526 [00:35<1:58:09, 1.62it/s]
0%| | 56/11526 [00:35<1:58:08, 1.62it/s]
{'loss': 0.8945, 'grad_norm': 2.3059258460998535, 'learning_rate': 4.856895056374676e-07, 'epoch': 0.01}
|
||
0%| | 56/11526 [00:35<1:58:08, 1.62it/s]
0%| | 57/11526 [00:36<1:58:05, 1.62it/s]
{'loss': 0.9525, 'grad_norm': 2.3337178230285645, 'learning_rate': 4.943625325238509e-07, 'epoch': 0.01}
|
||
0%| | 57/11526 [00:36<1:58:05, 1.62it/s]
1%| | 58/11526 [00:36<1:58:07, 1.62it/s]
{'loss': 0.8883, 'grad_norm': 2.5158843994140625, 'learning_rate': 5.030355594102343e-07, 'epoch': 0.02}
|
||
1%| | 58/11526 [00:36<1:58:07, 1.62it/s]
1%| | 59/11526 [00:37<1:58:15, 1.62it/s]
{'loss': 0.9122, 'grad_norm': 1.9929068088531494, 'learning_rate': 5.117085862966176e-07, 'epoch': 0.02}
|
||
1%| | 59/11526 [00:37<1:58:15, 1.62it/s]
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{'loss': 0.7592, 'grad_norm': 2.1772091388702393, 'learning_rate': 5.203816131830009e-07, 'epoch': 0.02}
|
||
1%| | 60/11526 [00:38<1:58:11, 1.62it/s]
1%| | 61/11526 [00:38<1:58:06, 1.62it/s]
{'loss': 1.0441, 'grad_norm': 2.5863544940948486, 'learning_rate': 5.290546400693842e-07, 'epoch': 0.02}
|
||
1%| | 61/11526 [00:38<1:58:06, 1.62it/s]
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{'loss': 0.9181, 'grad_norm': 2.332345485687256, 'learning_rate': 5.377276669557676e-07, 'epoch': 0.02}
|
||
1%| | 62/11526 [00:39<1:58:00, 1.62it/s]
1%| | 63/11526 [00:39<1:57:55, 1.62it/s]
{'loss': 0.9614, 'grad_norm': 2.590165615081787, 'learning_rate': 5.464006938421509e-07, 'epoch': 0.02}
|
||
1%| | 63/11526 [00:40<1:57:55, 1.62it/s]
1%| | 64/11526 [00:40<1:58:05, 1.62it/s]
{'loss': 0.9756, 'grad_norm': 3.0666537284851074, 'learning_rate': 5.550737207285343e-07, 'epoch': 0.02}
|
||
1%| | 64/11526 [00:40<1:58:05, 1.62it/s]
1%| | 65/11526 [00:41<1:58:00, 1.62it/s]
{'loss': 0.8731, 'grad_norm': 2.46872615814209, 'learning_rate': 5.637467476149176e-07, 'epoch': 0.02}
|
||
1%| | 65/11526 [00:41<1:58:00, 1.62it/s]
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{'loss': 0.9034, 'grad_norm': 2.2258975505828857, 'learning_rate': 5.72419774501301e-07, 'epoch': 0.02}
|
||
1%| | 66/11526 [00:41<1:57:52, 1.62it/s]
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{'loss': 0.9931, 'grad_norm': 3.302924871444702, 'learning_rate': 5.810928013876844e-07, 'epoch': 0.02}
|
||
1%| | 67/11526 [00:42<1:57:54, 1.62it/s]
1%| | 68/11526 [00:42<1:57:58, 1.62it/s]
{'loss': 0.8728, 'grad_norm': 2.612285614013672, 'learning_rate': 5.897658282740678e-07, 'epoch': 0.02}
|
||
1%| | 68/11526 [00:43<1:57:58, 1.62it/s]
1%| | 69/11526 [00:43<1:58:19, 1.61it/s]
{'loss': 0.8563, 'grad_norm': 2.46860933303833, 'learning_rate': 5.984388551604511e-07, 'epoch': 0.02}
|
||
1%| | 69/11526 [00:43<1:58:19, 1.61it/s]
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{'loss': 0.9464, 'grad_norm': 2.5882294178009033, 'learning_rate': 6.071118820468344e-07, 'epoch': 0.02}
|
||
1%| | 70/11526 [00:44<1:58:13, 1.62it/s]
1%| | 71/11526 [00:44<1:57:57, 1.62it/s]
{'loss': 1.0264, 'grad_norm': 2.3509042263031006, 'learning_rate': 6.157849089332178e-07, 'epoch': 0.02}
|
||
1%| | 71/11526 [00:44<1:57:57, 1.62it/s]
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{'loss': 0.8318, 'grad_norm': 2.2289910316467285, 'learning_rate': 6.244579358196011e-07, 'epoch': 0.02}
|
||
1%| | 72/11526 [00:45<1:57:41, 1.62it/s]
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{'loss': 0.9499, 'grad_norm': 2.844564199447632, 'learning_rate': 6.331309627059845e-07, 'epoch': 0.02}
|
||
1%| | 73/11526 [00:46<1:57:34, 1.62it/s]
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{'loss': 0.9871, 'grad_norm': 2.558464765548706, 'learning_rate': 6.418039895923677e-07, 'epoch': 0.02}
|
||
1%| | 74/11526 [00:46<1:57:33, 1.62it/s]
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{'loss': 0.8232, 'grad_norm': 2.770019054412842, 'learning_rate': 6.504770164787512e-07, 'epoch': 0.02}
|
||
1%| | 75/11526 [00:47<1:57:39, 1.62it/s]
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{'loss': 0.9688, 'grad_norm': 2.527897357940674, 'learning_rate': 6.591500433651344e-07, 'epoch': 0.02}
|
||
1%| | 76/11526 [00:48<1:57:43, 1.62it/s]
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{'loss': 0.8528, 'grad_norm': 2.155005931854248, 'learning_rate': 6.678230702515179e-07, 'epoch': 0.02}
|
||
1%| | 77/11526 [00:48<1:57:46, 1.62it/s]
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{'loss': 0.9494, 'grad_norm': 2.6538939476013184, 'learning_rate': 6.764960971379011e-07, 'epoch': 0.02}
|
||
1%| | 78/11526 [00:49<1:57:51, 1.62it/s]
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{'loss': 0.936, 'grad_norm': 2.350085735321045, 'learning_rate': 6.851691240242846e-07, 'epoch': 0.02}
|
||
1%| | 79/11526 [00:49<1:57:58, 1.62it/s]
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{'loss': 0.8373, 'grad_norm': 2.1617846488952637, 'learning_rate': 6.938421509106678e-07, 'epoch': 0.02}
|
||
1%| | 80/11526 [00:50<1:57:55, 1.62it/s]
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{'loss': 1.014, 'grad_norm': 2.7454488277435303, 'learning_rate': 7.025151777970513e-07, 'epoch': 0.02}
|
||
1%| | 81/11526 [00:51<1:57:51, 1.62it/s]
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{'loss': 0.9313, 'grad_norm': 2.5120420455932617, 'learning_rate': 7.111882046834345e-07, 'epoch': 0.02}
|
||
1%| | 82/11526 [00:51<1:57:47, 1.62it/s]
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{'loss': 1.0062, 'grad_norm': 2.82900071144104, 'learning_rate': 7.19861231569818e-07, 'epoch': 0.02}
|
||
1%| | 83/11526 [00:52<1:57:49, 1.62it/s]
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{'loss': 1.0068, 'grad_norm': 2.580829381942749, 'learning_rate': 7.285342584562012e-07, 'epoch': 0.02}
|
||
1%| | 84/11526 [00:52<1:57:46, 1.62it/s]
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{'loss': 0.8582, 'grad_norm': 2.6254355907440186, 'learning_rate': 7.372072853425847e-07, 'epoch': 0.02}
|
||
1%| | 85/11526 [00:53<1:57:45, 1.62it/s]
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{'loss': 0.914, 'grad_norm': 2.748262643814087, 'learning_rate': 7.45880312228968e-07, 'epoch': 0.02}
|
||
1%| | 86/11526 [00:54<1:57:41, 1.62it/s]
1%| | 87/11526 [00:54<1:57:35, 1.62it/s]
{'loss': 0.9415, 'grad_norm': 2.7541556358337402, 'learning_rate': 7.545533391153513e-07, 'epoch': 0.02}
|
||
1%| | 87/11526 [00:54<1:57:35, 1.62it/s]
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{'loss': 0.7448, 'grad_norm': 2.3519718647003174, 'learning_rate': 7.632263660017347e-07, 'epoch': 0.02}
|
||
1%| | 88/11526 [00:55<1:57:32, 1.62it/s]
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{'loss': 0.7378, 'grad_norm': 1.6259915828704834, 'learning_rate': 7.71899392888118e-07, 'epoch': 0.02}
|
||
1%| | 89/11526 [00:56<1:57:35, 1.62it/s]
1%| | 90/11526 [00:56<1:57:29, 1.62it/s]
{'loss': 0.939, 'grad_norm': 2.368450880050659, 'learning_rate': 7.805724197745014e-07, 'epoch': 0.02}
|
||
1%| | 90/11526 [00:56<1:57:29, 1.62it/s]
1%| | 91/11526 [00:57<1:57:25, 1.62it/s]
{'loss': 0.7851, 'grad_norm': 1.825242042541504, 'learning_rate': 7.892454466608846e-07, 'epoch': 0.02}
|
||
1%| | 91/11526 [00:57<1:57:25, 1.62it/s]
1%| | 92/11526 [00:57<1:57:18, 1.62it/s]
{'loss': 0.827, 'grad_norm': 2.2322847843170166, 'learning_rate': 7.979184735472681e-07, 'epoch': 0.02}
|
||
1%| | 92/11526 [00:57<1:57:18, 1.62it/s]
1%| | 93/11526 [00:58<1:57:20, 1.62it/s]
{'loss': 0.8678, 'grad_norm': 2.20609450340271, 'learning_rate': 8.065915004336513e-07, 'epoch': 0.02}
|
||
1%| | 93/11526 [00:58<1:57:20, 1.62it/s]
1%| | 94/11526 [00:59<1:57:33, 1.62it/s]
{'loss': 0.8721, 'grad_norm': 1.9949091672897339, 'learning_rate': 8.152645273200348e-07, 'epoch': 0.02}
|
||
1%| | 94/11526 [00:59<1:57:33, 1.62it/s]
1%| | 95/11526 [00:59<1:57:33, 1.62it/s]
{'loss': 0.7532, 'grad_norm': 1.8752204179763794, 'learning_rate': 8.23937554206418e-07, 'epoch': 0.02}
|
||
1%| | 95/11526 [00:59<1:57:33, 1.62it/s]
1%| | 96/11526 [01:00<1:57:35, 1.62it/s]
{'loss': 0.8847, 'grad_norm': 2.1880412101745605, 'learning_rate': 8.326105810928015e-07, 'epoch': 0.02}
|
||
1%| | 96/11526 [01:00<1:57:35, 1.62it/s]
1%| | 97/11526 [01:00<1:57:34, 1.62it/s]
{'loss': 0.7596, 'grad_norm': 2.0729541778564453, 'learning_rate': 8.412836079791847e-07, 'epoch': 0.03}
|
||
1%| | 97/11526 [01:01<1:57:34, 1.62it/s]
1%| | 98/11526 [01:01<1:57:52, 1.62it/s]
{'loss': 0.916, 'grad_norm': 2.4603145122528076, 'learning_rate': 8.499566348655682e-07, 'epoch': 0.03}
|
||
1%| | 98/11526 [01:01<1:57:52, 1.62it/s]
1%| | 99/11526 [01:02<1:57:55, 1.61it/s]
{'loss': 0.9586, 'grad_norm': 2.156376361846924, 'learning_rate': 8.586296617519515e-07, 'epoch': 0.03}
|
||
1%| | 99/11526 [01:02<1:57:55, 1.61it/s]
1%| | 100/11526 [01:02<1:57:42, 1.62it/s]
{'loss': 0.7507, 'grad_norm': 1.7791136503219604, 'learning_rate': 8.673026886383349e-07, 'epoch': 0.03}
|
||
1%| | 100/11526 [01:02<1:57:42, 1.62it/s]
1%| | 101/11526 [01:03<1:57:36, 1.62it/s]
{'loss': 0.8453, 'grad_norm': 1.928830623626709, 'learning_rate': 8.759757155247182e-07, 'epoch': 0.03}
|
||
1%| | 101/11526 [01:03<1:57:36, 1.62it/s]
1%| | 102/11526 [01:03<1:57:25, 1.62it/s]
{'loss': 0.8484, 'grad_norm': 1.8511621952056885, 'learning_rate': 8.846487424111015e-07, 'epoch': 0.03}
|
||
1%| | 102/11526 [01:04<1:57:25, 1.62it/s]
1%| | 103/11526 [01:04<1:57:18, 1.62it/s]
{'loss': 0.7887, 'grad_norm': 1.6576415300369263, 'learning_rate': 8.933217692974849e-07, 'epoch': 0.03}
|
||
1%| | 103/11526 [01:04<1:57:18, 1.62it/s]
1%| | 104/11526 [01:05<1:57:22, 1.62it/s]
{'loss': 0.7807, 'grad_norm': 1.695311188697815, 'learning_rate': 9.019947961838682e-07, 'epoch': 0.03}
|
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1%| | 104/11526 [01:05<1:57:22, 1.62it/s]
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{'loss': 0.6844, 'grad_norm': 1.711766242980957, 'learning_rate': 9.106678230702516e-07, 'epoch': 0.03}
|
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1%| | 105/11526 [01:05<1:57:22, 1.62it/s]
1%| | 106/11526 [01:06<1:57:18, 1.62it/s]
{'loss': 0.7641, 'grad_norm': 1.687597632408142, 'learning_rate': 9.193408499566349e-07, 'epoch': 0.03}
|
||
1%| | 106/11526 [01:06<1:57:18, 1.62it/s]
1%| | 107/11526 [01:07<1:57:14, 1.62it/s]
{'loss': 0.8026, 'grad_norm': 1.937798023223877, 'learning_rate': 9.280138768430183e-07, 'epoch': 0.03}
|
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{'loss': 0.838, 'grad_norm': 1.926873803138733, 'learning_rate': 9.366869037294016e-07, 'epoch': 0.03}
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1%| | 108/11526 [01:07<1:57:07, 1.62it/s]
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{'loss': 0.8744, 'grad_norm': 1.6707262992858887, 'learning_rate': 9.45359930615785e-07, 'epoch': 0.03}
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1%| | 109/11526 [01:08<1:57:08, 1.62it/s]
1%| | 110/11526 [01:08<1:57:07, 1.62it/s]
{'loss': 0.7772, 'grad_norm': 1.5839877128601074, 'learning_rate': 9.540329575021685e-07, 'epoch': 0.03}
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1%| | 110/11526 [01:09<1:57:07, 1.62it/s]
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{'loss': 0.7224, 'grad_norm': 1.5069698095321655, 'learning_rate': 9.627059843885516e-07, 'epoch': 0.03}
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1%| | 111/11526 [01:09<1:57:15, 1.62it/s]
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{'loss': 0.7786, 'grad_norm': 2.007721424102783, 'learning_rate': 9.713790112749352e-07, 'epoch': 0.03}
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1%| | 112/11526 [01:10<1:57:10, 1.62it/s]
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{'loss': 0.8187, 'grad_norm': 1.7204419374465942, 'learning_rate': 9.800520381613183e-07, 'epoch': 0.03}
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1%| | 113/11526 [01:10<1:57:19, 1.62it/s]
1%| | 114/11526 [01:11<1:57:33, 1.62it/s]
{'loss': 0.7963, 'grad_norm': 1.8152350187301636, 'learning_rate': 9.887250650477019e-07, 'epoch': 0.03}
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1%| | 114/11526 [01:11<1:57:33, 1.62it/s]
1%| | 115/11526 [01:11<1:57:39, 1.62it/s]
{'loss': 0.7744, 'grad_norm': 1.5332870483398438, 'learning_rate': 9.97398091934085e-07, 'epoch': 0.03}
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1%| | 115/11526 [01:12<1:57:39, 1.62it/s]
1%| | 116/11526 [01:12<1:57:40, 1.62it/s]
{'loss': 0.7205, 'grad_norm': 1.463029146194458, 'learning_rate': 1.0060711188204686e-06, 'epoch': 0.03}
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1%| | 116/11526 [01:12<1:57:40, 1.62it/s]
1%| | 117/11526 [01:13<1:57:35, 1.62it/s]
{'loss': 0.7717, 'grad_norm': 1.7677960395812988, 'learning_rate': 1.0147441457068517e-06, 'epoch': 0.03}
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1%| | 117/11526 [01:13<1:57:35, 1.62it/s]
1%| | 118/11526 [01:13<1:57:25, 1.62it/s]
{'loss': 0.7577, 'grad_norm': 1.7238428592681885, 'learning_rate': 1.0234171725932352e-06, 'epoch': 0.03}
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1%| | 118/11526 [01:13<1:57:25, 1.62it/s]
1%| | 119/11526 [01:14<1:57:26, 1.62it/s]
{'loss': 0.6389, 'grad_norm': 1.4990946054458618, 'learning_rate': 1.0320901994796184e-06, 'epoch': 0.03}
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1%| | 119/11526 [01:14<1:57:26, 1.62it/s]
1%| | 120/11526 [01:15<1:57:20, 1.62it/s]
{'loss': 0.892, 'grad_norm': 1.716744065284729, 'learning_rate': 1.0407632263660017e-06, 'epoch': 0.03}
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1%| | 120/11526 [01:15<1:57:20, 1.62it/s]
1%| | 121/11526 [01:15<1:57:20, 1.62it/s]
{'loss': 0.7709, 'grad_norm': 1.7419546842575073, 'learning_rate': 1.049436253252385e-06, 'epoch': 0.03}
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1%| | 121/11526 [01:15<1:57:20, 1.62it/s]
1%| | 122/11526 [01:16<1:57:18, 1.62it/s]
{'loss': 0.5891, 'grad_norm': 1.463056206703186, 'learning_rate': 1.0581092801387684e-06, 'epoch': 0.03}
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1%| | 122/11526 [01:16<1:57:18, 1.62it/s]
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{'loss': 0.7855, 'grad_norm': 1.9125365018844604, 'learning_rate': 1.066782307025152e-06, 'epoch': 0.03}
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1%| | 123/11526 [01:17<1:57:14, 1.62it/s]
1%| | 124/11526 [01:17<1:57:14, 1.62it/s]
{'loss': 0.6292, 'grad_norm': 1.425355076789856, 'learning_rate': 1.0754553339115351e-06, 'epoch': 0.03}
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1%| | 124/11526 [01:17<1:57:14, 1.62it/s]
1%| | 125/11526 [01:18<1:57:13, 1.62it/s]
{'loss': 0.5834, 'grad_norm': 1.3620693683624268, 'learning_rate': 1.0841283607979187e-06, 'epoch': 0.03}
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||
1%| | 125/11526 [01:18<1:57:13, 1.62it/s]
1%| | 126/11526 [01:18<1:57:12, 1.62it/s]
{'loss': 0.6492, 'grad_norm': 1.4669655561447144, 'learning_rate': 1.0928013876843018e-06, 'epoch': 0.03}
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||
1%| | 126/11526 [01:18<1:57:12, 1.62it/s]
1%| | 127/11526 [01:19<1:57:12, 1.62it/s]
{'loss': 0.5672, 'grad_norm': 1.475087285041809, 'learning_rate': 1.1014744145706854e-06, 'epoch': 0.03}
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||
1%| | 127/11526 [01:19<1:57:12, 1.62it/s]
1%| | 128/11526 [01:20<1:57:11, 1.62it/s]
{'loss': 0.7576, 'grad_norm': 1.5403342247009277, 'learning_rate': 1.1101474414570685e-06, 'epoch': 0.03}
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||
1%| | 128/11526 [01:20<1:57:11, 1.62it/s]
1%| | 129/11526 [01:20<1:57:11, 1.62it/s]
{'loss': 0.9373, 'grad_norm': 2.1037890911102295, 'learning_rate': 1.118820468343452e-06, 'epoch': 0.03}
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||
1%| | 129/11526 [01:20<1:57:11, 1.62it/s]
1%| | 130/11526 [01:21<1:57:12, 1.62it/s]
{'loss': 0.6499, 'grad_norm': 1.4111831188201904, 'learning_rate': 1.1274934952298352e-06, 'epoch': 0.03}
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||
1%| | 130/11526 [01:21<1:57:12, 1.62it/s]
1%| | 131/11526 [01:21<1:57:11, 1.62it/s]
{'loss': 0.7308, 'grad_norm': 1.4123345613479614, 'learning_rate': 1.1361665221162188e-06, 'epoch': 0.03}
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||
1%| | 131/11526 [01:21<1:57:11, 1.62it/s]
1%| | 132/11526 [01:22<1:57:10, 1.62it/s]
{'loss': 0.7433, 'grad_norm': 1.7135119438171387, 'learning_rate': 1.144839549002602e-06, 'epoch': 0.03}
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||
1%| | 132/11526 [01:22<1:57:10, 1.62it/s]
1%| | 133/11526 [01:23<1:57:12, 1.62it/s]
{'loss': 0.697, 'grad_norm': 1.3512945175170898, 'learning_rate': 1.1535125758889853e-06, 'epoch': 0.03}
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||
1%| | 133/11526 [01:23<1:57:12, 1.62it/s]
1%| | 134/11526 [01:23<1:57:15, 1.62it/s]
{'loss': 0.6869, 'grad_norm': 1.3782225847244263, 'learning_rate': 1.1621856027753688e-06, 'epoch': 0.03}
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||
1%| | 134/11526 [01:23<1:57:15, 1.62it/s]
1%| | 135/11526 [01:24<1:57:10, 1.62it/s]
{'loss': 0.6985, 'grad_norm': 1.438422441482544, 'learning_rate': 1.170858629661752e-06, 'epoch': 0.04}
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||
1%| | 135/11526 [01:24<1:57:10, 1.62it/s]
1%| | 136/11526 [01:24<1:57:06, 1.62it/s]
{'loss': 0.5912, 'grad_norm': 1.3065789937973022, 'learning_rate': 1.1795316565481355e-06, 'epoch': 0.04}
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||
1%| | 136/11526 [01:25<1:57:06, 1.62it/s]
1%| | 137/11526 [01:25<1:57:04, 1.62it/s]
{'loss': 0.7323, 'grad_norm': 1.4421719312667847, 'learning_rate': 1.1882046834345186e-06, 'epoch': 0.04}
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||
1%| | 137/11526 [01:25<1:57:04, 1.62it/s]
1%| | 138/11526 [01:26<1:57:03, 1.62it/s]
{'loss': 0.5965, 'grad_norm': 1.286468267440796, 'learning_rate': 1.1968777103209022e-06, 'epoch': 0.04}
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||
1%| | 138/11526 [01:26<1:57:03, 1.62it/s]
1%| | 139/11526 [01:26<1:57:02, 1.62it/s]
{'loss': 0.5876, 'grad_norm': 1.443925380706787, 'learning_rate': 1.2055507372072853e-06, 'epoch': 0.04}
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||
1%| | 139/11526 [01:26<1:57:02, 1.62it/s]
1%| | 140/11526 [01:27<1:56:53, 1.62it/s]
{'loss': 0.6765, 'grad_norm': 1.211211085319519, 'learning_rate': 1.214223764093669e-06, 'epoch': 0.04}
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||
1%| | 140/11526 [01:27<1:56:53, 1.62it/s]
1%| | 141/11526 [01:28<1:56:57, 1.62it/s]
{'loss': 0.7977, 'grad_norm': 1.4931507110595703, 'learning_rate': 1.222896790980052e-06, 'epoch': 0.04}
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||
1%| | 141/11526 [01:28<1:56:57, 1.62it/s]
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{'loss': 0.6237, 'grad_norm': 1.568094253540039, 'learning_rate': 1.2315698178664356e-06, 'epoch': 0.04}
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||
1%| | 142/11526 [01:28<1:56:53, 1.62it/s]
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{'loss': 0.6116, 'grad_norm': 1.2825233936309814, 'learning_rate': 1.2402428447528187e-06, 'epoch': 0.04}
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1%| | 143/11526 [01:29<1:57:05, 1.62it/s]
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{'loss': 0.5838, 'grad_norm': 1.1763852834701538, 'learning_rate': 1.2489158716392023e-06, 'epoch': 0.04}
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1%|▏ | 145/11526 [01:30<1:57:12, 1.62it/s]
{'loss': 0.5777, 'grad_norm': 1.1497303247451782, 'learning_rate': 1.2575888985255854e-06, 'epoch': 0.04}
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1%|▏ | 146/11526 [01:31<1:57:14, 1.62it/s]
{'loss': 0.5924, 'grad_norm': 1.107702374458313, 'learning_rate': 1.266261925411969e-06, 'epoch': 0.04}
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{'loss': 0.5243, 'grad_norm': 1.0762262344360352, 'learning_rate': 1.2749349522983523e-06, 'epoch': 0.04}
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{'loss': 0.6526, 'grad_norm': 1.1643974781036377, 'learning_rate': 1.2836079791847355e-06, 'epoch': 0.04}
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1%|▏ | 148/11526 [01:32<1:57:13, 1.62it/s]
1%|▏ | 149/11526 [01:32<1:57:23, 1.62it/s]
{'loss': 0.7247, 'grad_norm': 1.3989418745040894, 'learning_rate': 1.2922810060711188e-06, 'epoch': 0.04}
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1%|▏ | 150/11526 [01:33<1:57:32, 1.61it/s]
{'loss': 0.5651, 'grad_norm': 1.062746524810791, 'learning_rate': 1.3009540329575024e-06, 'epoch': 0.04}
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1%|▏ | 150/11526 [01:33<1:57:32, 1.61it/s]
1%|▏ | 151/11526 [01:34<1:57:27, 1.61it/s]
{'loss': 0.589, 'grad_norm': 1.09380042552948, 'learning_rate': 1.3096270598438857e-06, 'epoch': 0.04}
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1%|▏ | 151/11526 [01:34<1:57:27, 1.61it/s]
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{'loss': 0.5278, 'grad_norm': 0.929856538772583, 'learning_rate': 1.3183000867302689e-06, 'epoch': 0.04}
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1%|▏ | 152/11526 [01:34<1:57:20, 1.62it/s]
1%|▏ | 153/11526 [01:35<1:57:23, 1.61it/s]
{'loss': 0.6685, 'grad_norm': 1.1692864894866943, 'learning_rate': 1.3269731136166522e-06, 'epoch': 0.04}
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1%|▏ | 153/11526 [01:35<1:57:23, 1.61it/s]
1%|▏ | 154/11526 [01:36<1:57:19, 1.62it/s]
{'loss': 0.6129, 'grad_norm': 1.1693429946899414, 'learning_rate': 1.3356461405030358e-06, 'epoch': 0.04}
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1%|▏ | 154/11526 [01:36<1:57:19, 1.62it/s]
1%|▏ | 155/11526 [01:36<1:57:05, 1.62it/s]
{'loss': 0.617, 'grad_norm': 1.1112942695617676, 'learning_rate': 1.3443191673894191e-06, 'epoch': 0.04}
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1%|▏ | 155/11526 [01:36<1:57:05, 1.62it/s]
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{'loss': 0.6157, 'grad_norm': 1.1956267356872559, 'learning_rate': 1.3529921942758023e-06, 'epoch': 0.04}
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1%|▏ | 156/11526 [01:37<1:57:14, 1.62it/s]
1%|▏ | 157/11526 [01:37<1:57:05, 1.62it/s]
{'loss': 0.6358, 'grad_norm': 1.1118966341018677, 'learning_rate': 1.3616652211621856e-06, 'epoch': 0.04}
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1%|▏ | 157/11526 [01:38<1:57:05, 1.62it/s]
1%|▏ | 158/11526 [01:38<1:57:04, 1.62it/s]
{'loss': 0.7017, 'grad_norm': 1.222934365272522, 'learning_rate': 1.3703382480485692e-06, 'epoch': 0.04}
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1%|▏ | 158/11526 [01:38<1:57:04, 1.62it/s]
1%|▏ | 159/11526 [01:39<1:57:11, 1.62it/s]
{'loss': 0.5604, 'grad_norm': 1.0738201141357422, 'learning_rate': 1.3790112749349525e-06, 'epoch': 0.04}
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1%|▏ | 159/11526 [01:39<1:57:11, 1.62it/s]
1%|▏ | 160/11526 [01:39<1:57:15, 1.62it/s]
{'loss': 0.5611, 'grad_norm': 1.056372880935669, 'learning_rate': 1.3876843018213356e-06, 'epoch': 0.04}
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1%|▏ | 160/11526 [01:39<1:57:15, 1.62it/s]
1%|▏ | 161/11526 [01:40<1:57:01, 1.62it/s]
{'loss': 0.5747, 'grad_norm': 1.0789778232574463, 'learning_rate': 1.3963573287077192e-06, 'epoch': 0.04}
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1%|▏ | 161/11526 [01:40<1:57:01, 1.62it/s]
1%|▏ | 162/11526 [01:41<1:56:49, 1.62it/s]
{'loss': 0.5926, 'grad_norm': 1.204740285873413, 'learning_rate': 1.4050303555941025e-06, 'epoch': 0.04}
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1%|▏ | 162/11526 [01:41<1:56:49, 1.62it/s]
1%|▏ | 163/11526 [01:41<1:56:36, 1.62it/s]
{'loss': 0.7206, 'grad_norm': 1.238403081893921, 'learning_rate': 1.4137033824804857e-06, 'epoch': 0.04}
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1%|▏ | 163/11526 [01:41<1:56:36, 1.62it/s]
1%|▏ | 164/11526 [01:42<1:56:37, 1.62it/s]
{'loss': 0.7112, 'grad_norm': 1.1109087467193604, 'learning_rate': 1.422376409366869e-06, 'epoch': 0.04}
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1%|▏ | 164/11526 [01:42<1:56:37, 1.62it/s]
1%|▏ | 165/11526 [01:42<1:56:39, 1.62it/s]
{'loss': 0.6053, 'grad_norm': 1.0813874006271362, 'learning_rate': 1.4310494362532526e-06, 'epoch': 0.04}
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1%|▏ | 165/11526 [01:42<1:56:39, 1.62it/s]
1%|▏ | 166/11526 [01:43<1:56:36, 1.62it/s]
{'loss': 0.5977, 'grad_norm': 1.1231296062469482, 'learning_rate': 1.439722463139636e-06, 'epoch': 0.04}
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1%|▏ | 166/11526 [01:43<1:56:36, 1.62it/s]
1%|▏ | 167/11526 [01:44<1:56:24, 1.63it/s]
{'loss': 0.4941, 'grad_norm': 0.9455352425575256, 'learning_rate': 1.448395490026019e-06, 'epoch': 0.04}
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1%|▏ | 167/11526 [01:44<1:56:24, 1.63it/s]
1%|▏ | 168/11526 [01:44<1:56:20, 1.63it/s]
{'loss': 0.5498, 'grad_norm': 0.9913843870162964, 'learning_rate': 1.4570685169124024e-06, 'epoch': 0.04}
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1%|▏ | 168/11526 [01:44<1:56:20, 1.63it/s]
1%|▏ | 169/11526 [01:45<1:57:06, 1.62it/s]
{'loss': 0.6178, 'grad_norm': 1.0535211563110352, 'learning_rate': 1.465741543798786e-06, 'epoch': 0.04}
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1%|▏ | 169/11526 [01:45<1:57:06, 1.62it/s]
1%|▏ | 170/11526 [01:45<1:57:05, 1.62it/s]
{'loss': 0.4798, 'grad_norm': 0.9131155610084534, 'learning_rate': 1.4744145706851693e-06, 'epoch': 0.04}
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1%|▏ | 170/11526 [01:46<1:57:05, 1.62it/s]
1%|▏ | 171/11526 [01:46<1:56:46, 1.62it/s]
{'loss': 0.4877, 'grad_norm': 1.1136891841888428, 'learning_rate': 1.4830875975715525e-06, 'epoch': 0.04}
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1%|▏ | 171/11526 [01:46<1:56:46, 1.62it/s]
1%|▏ | 172/11526 [01:47<1:56:49, 1.62it/s]
{'loss': 0.6241, 'grad_norm': 1.06000816822052, 'learning_rate': 1.491760624457936e-06, 'epoch': 0.04}
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1%|▏ | 172/11526 [01:47<1:56:49, 1.62it/s]
2%|▏ | 173/11526 [01:47<1:56:53, 1.62it/s]
{'loss': 0.5009, 'grad_norm': 0.9263389706611633, 'learning_rate': 1.5004336513443194e-06, 'epoch': 0.05}
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2%|▏ | 173/11526 [01:47<1:56:53, 1.62it/s]
2%|▏ | 174/11526 [01:48<1:57:00, 1.62it/s]
{'loss': 0.5841, 'grad_norm': 0.9428918361663818, 'learning_rate': 1.5091066782307025e-06, 'epoch': 0.05}
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2%|▏ | 174/11526 [01:48<1:57:00, 1.62it/s]
2%|▏ | 175/11526 [01:49<1:57:03, 1.62it/s]
{'loss': 0.507, 'grad_norm': 0.9835313558578491, 'learning_rate': 1.5177797051170859e-06, 'epoch': 0.05}
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2%|▏ | 175/11526 [01:49<1:57:03, 1.62it/s]
2%|▏ | 176/11526 [01:49<1:56:52, 1.62it/s]
{'loss': 0.6359, 'grad_norm': 0.9990827441215515, 'learning_rate': 1.5264527320034694e-06, 'epoch': 0.05}
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2%|▏ | 176/11526 [01:49<1:56:52, 1.62it/s]
2%|▏ | 177/11526 [01:50<1:56:49, 1.62it/s]
{'loss': 0.4714, 'grad_norm': 0.9614607691764832, 'learning_rate': 1.5351257588898528e-06, 'epoch': 0.05}
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2%|▏ | 177/11526 [01:50<1:56:49, 1.62it/s]
2%|▏ | 178/11526 [01:50<1:56:41, 1.62it/s]
{'loss': 0.6777, 'grad_norm': 1.112619400024414, 'learning_rate': 1.543798785776236e-06, 'epoch': 0.05}
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{'loss': 0.633, 'grad_norm': 1.1248114109039307, 'learning_rate': 1.5524718126626192e-06, 'epoch': 0.05}
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{'loss': 0.4786, 'grad_norm': 0.958987295627594, 'learning_rate': 1.5611448395490028e-06, 'epoch': 0.05}
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{'loss': 0.6358, 'grad_norm': 1.149208903312683, 'learning_rate': 1.5698178664353862e-06, 'epoch': 0.05}
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{'loss': 0.4743, 'grad_norm': 0.8846536874771118, 'learning_rate': 1.5784908933217693e-06, 'epoch': 0.05}
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{'loss': 0.5149, 'grad_norm': 0.909762978553772, 'learning_rate': 1.5871639202081529e-06, 'epoch': 0.05}
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{'loss': 0.6426, 'grad_norm': 1.0294567346572876, 'learning_rate': 1.5958369470945362e-06, 'epoch': 0.05}
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{'loss': 0.463, 'grad_norm': 0.902991533279419, 'learning_rate': 1.6045099739809195e-06, 'epoch': 0.05}
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{'loss': 0.6086, 'grad_norm': 1.1820343732833862, 'learning_rate': 1.6131830008673027e-06, 'epoch': 0.05}
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{'loss': 0.6342, 'grad_norm': 1.012710452079773, 'learning_rate': 1.6218560277536862e-06, 'epoch': 0.05}
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{'loss': 0.5113, 'grad_norm': 0.9933950901031494, 'learning_rate': 1.6305290546400696e-06, 'epoch': 0.05}
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{'loss': 0.4752, 'grad_norm': 1.0137450695037842, 'learning_rate': 1.6392020815264527e-06, 'epoch': 0.05}
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{'loss': 0.6238, 'grad_norm': 1.163692593574524, 'learning_rate': 1.647875108412836e-06, 'epoch': 0.05}
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{'loss': 0.6651, 'grad_norm': 1.009185552597046, 'learning_rate': 1.6565481352992196e-06, 'epoch': 0.05}
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{'loss': 0.438, 'grad_norm': 0.8828431963920593, 'learning_rate': 1.665221162185603e-06, 'epoch': 0.05}
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{'loss': 0.5476, 'grad_norm': 0.9766502380371094, 'learning_rate': 1.6738941890719861e-06, 'epoch': 0.05}
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{'loss': 0.5093, 'grad_norm': 0.9113374948501587, 'learning_rate': 1.6825672159583695e-06, 'epoch': 0.05}
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{'loss': 0.5294, 'grad_norm': 0.973028838634491, 'learning_rate': 1.691240242844753e-06, 'epoch': 0.05}
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{'loss': 0.624, 'grad_norm': 1.0550676584243774, 'learning_rate': 1.6999132697311364e-06, 'epoch': 0.05}
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{'loss': 0.5009, 'grad_norm': 0.968843936920166, 'learning_rate': 1.7085862966175195e-06, 'epoch': 0.05}
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{'loss': 0.5506, 'grad_norm': 0.9119936227798462, 'learning_rate': 1.717259323503903e-06, 'epoch': 0.05}
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{'loss': 0.6645, 'grad_norm': 1.021525502204895, 'learning_rate': 1.7259323503902864e-06, 'epoch': 0.05}
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{'loss': 0.4601, 'grad_norm': 0.8272081613540649, 'learning_rate': 1.7346053772766698e-06, 'epoch': 0.05}
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0%| | 0/13 [00:00<?, ?it/s][A
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[A{'eval_loss': 0.886620283126831, 'eval_runtime': 1.9655, 'eval_samples_per_second': 101.755, 'eval_steps_per_second': 6.614, 'epoch': 0.05}
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[A
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{'loss': 0.6475, 'grad_norm': 1.1240336894989014, 'learning_rate': 1.743278404163053e-06, 'epoch': 0.05}
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{'loss': 0.5469, 'grad_norm': 0.8994268774986267, 'learning_rate': 1.7519514310494365e-06, 'epoch': 0.05}
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{'loss': 0.5461, 'grad_norm': 0.9215892553329468, 'learning_rate': 1.7606244579358198e-06, 'epoch': 0.05}
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{'loss': 0.3772, 'grad_norm': 0.8127555251121521, 'learning_rate': 1.769297484822203e-06, 'epoch': 0.05}
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{'loss': 0.6155, 'grad_norm': 0.9543675780296326, 'learning_rate': 1.7779705117085863e-06, 'epoch': 0.05}
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{'loss': 0.4677, 'grad_norm': 0.8139895796775818, 'learning_rate': 1.7866435385949699e-06, 'epoch': 0.05}
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{'loss': 0.5685, 'grad_norm': 1.0176928043365479, 'learning_rate': 1.7953165654813532e-06, 'epoch': 0.05}
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{'loss': 0.6238, 'grad_norm': 0.9643756747245789, 'learning_rate': 1.8039895923677363e-06, 'epoch': 0.05}
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{'loss': 0.5569, 'grad_norm': 0.9393540024757385, 'learning_rate': 1.81266261925412e-06, 'epoch': 0.05}
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{'loss': 0.5684, 'grad_norm': 1.027360439300537, 'learning_rate': 1.8213356461405032e-06, 'epoch': 0.05}
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{'loss': 0.4719, 'grad_norm': 0.8393529653549194, 'learning_rate': 1.8300086730268866e-06, 'epoch': 0.05}
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{'loss': 0.5277, 'grad_norm': 0.8615040183067322, 'learning_rate': 1.8386816999132697e-06, 'epoch': 0.06}
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{'loss': 0.4689, 'grad_norm': 0.8096368908882141, 'learning_rate': 1.8473547267996533e-06, 'epoch': 0.06}
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{'loss': 0.6827, 'grad_norm': 1.0990355014801025, 'learning_rate': 1.8560277536860366e-06, 'epoch': 0.06}
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{'loss': 0.4538, 'grad_norm': 1.069753646850586, 'learning_rate': 1.86470078057242e-06, 'epoch': 0.06}
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{'loss': 0.5351, 'grad_norm': 1.0479443073272705, 'learning_rate': 1.8733738074588031e-06, 'epoch': 0.06}
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{'loss': 0.6071, 'grad_norm': 1.0307600498199463, 'learning_rate': 1.8820468343451867e-06, 'epoch': 0.06}
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{'loss': 0.4931, 'grad_norm': 0.8304101824760437, 'learning_rate': 1.89071986123157e-06, 'epoch': 0.06}
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{'loss': 0.4616, 'grad_norm': 0.9603312611579895, 'learning_rate': 1.8993928881179532e-06, 'epoch': 0.06}
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{'loss': 0.4481, 'grad_norm': 0.7976512312889099, 'learning_rate': 1.908065915004337e-06, 'epoch': 0.06}
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{'loss': 0.4171, 'grad_norm': 0.76175856590271, 'learning_rate': 1.9167389418907203e-06, 'epoch': 0.06}
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{'loss': 0.5006, 'grad_norm': 0.8543665409088135, 'learning_rate': 1.925411968777103e-06, 'epoch': 0.06}
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{'loss': 0.4982, 'grad_norm': 0.7840791344642639, 'learning_rate': 1.9340849956634866e-06, 'epoch': 0.06}
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{'loss': 0.4925, 'grad_norm': 0.9489762783050537, 'learning_rate': 1.9427580225498703e-06, 'epoch': 0.06}
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{'loss': 0.5693, 'grad_norm': 0.9446815252304077, 'learning_rate': 1.9514310494362532e-06, 'epoch': 0.06}
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{'loss': 0.534, 'grad_norm': 0.9462544322013855, 'learning_rate': 1.9601040763226366e-06, 'epoch': 0.06}
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{'loss': 0.5015, 'grad_norm': 0.8612630367279053, 'learning_rate': 1.96877710320902e-06, 'epoch': 0.06}
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{'loss': 0.4809, 'grad_norm': 0.8276378512382507, 'learning_rate': 1.9774501300954037e-06, 'epoch': 0.06}
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{'loss': 0.5567, 'grad_norm': 0.855896532535553, 'learning_rate': 1.9861231569817866e-06, 'epoch': 0.06}
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{'loss': 0.4568, 'grad_norm': 0.7570719122886658, 'learning_rate': 1.99479618386817e-06, 'epoch': 0.06}
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{'loss': 0.4735, 'grad_norm': 0.866510272026062, 'learning_rate': 2.0034692107545538e-06, 'epoch': 0.06}
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{'loss': 0.4826, 'grad_norm': 0.7541313171386719, 'learning_rate': 2.012142237640937e-06, 'epoch': 0.06}
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{'loss': 0.5679, 'grad_norm': 0.8497040867805481, 'learning_rate': 2.02081526452732e-06, 'epoch': 0.06}
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{'loss': 0.507, 'grad_norm': 0.8653647899627686, 'learning_rate': 2.0294882914137034e-06, 'epoch': 0.06}
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{'loss': 0.4999, 'grad_norm': 0.8112255334854126, 'learning_rate': 2.038161318300087e-06, 'epoch': 0.06}
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{'loss': 0.5493, 'grad_norm': 0.8768890500068665, 'learning_rate': 2.0468343451864705e-06, 'epoch': 0.06}
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{'loss': 0.5352, 'grad_norm': 0.8988469839096069, 'learning_rate': 2.0555073720728534e-06, 'epoch': 0.06}
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{'loss': 0.4932, 'grad_norm': 0.7622236013412476, 'learning_rate': 2.0641803989592368e-06, 'epoch': 0.06}
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{'loss': 0.4915, 'grad_norm': 0.9700366258621216, 'learning_rate': 2.0728534258456205e-06, 'epoch': 0.06}
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{'loss': 0.59, 'grad_norm': 0.7398103475570679, 'learning_rate': 2.0815264527320035e-06, 'epoch': 0.06}
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{'loss': 0.4806, 'grad_norm': 0.8657262921333313, 'learning_rate': 2.090199479618387e-06, 'epoch': 0.06}
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{'loss': 0.4564, 'grad_norm': 0.8339256048202515, 'learning_rate': 2.09887250650477e-06, 'epoch': 0.06}
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{'loss': 0.6507, 'grad_norm': 0.9983787536621094, 'learning_rate': 2.107545533391154e-06, 'epoch': 0.06}
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{'loss': 0.5751, 'grad_norm': 1.0589375495910645, 'learning_rate': 2.116218560277537e-06, 'epoch': 0.06}
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{'loss': 0.4881, 'grad_norm': 0.9231506586074829, 'learning_rate': 2.12489158716392e-06, 'epoch': 0.06}
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{'loss': 0.477, 'grad_norm': 0.8600086569786072, 'learning_rate': 2.133564614050304e-06, 'epoch': 0.06}
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{'loss': 0.5333, 'grad_norm': 0.8610706925392151, 'learning_rate': 2.1422376409366873e-06, 'epoch': 0.06}
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{'loss': 0.5032, 'grad_norm': 0.8197236061096191, 'learning_rate': 2.1509106678230702e-06, 'epoch': 0.06}
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{'loss': 0.5402, 'grad_norm': 0.8955065011978149, 'learning_rate': 2.1595836947094536e-06, 'epoch': 0.06}
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{'loss': 0.5558, 'grad_norm': 0.8481603264808655, 'learning_rate': 2.1682567215958374e-06, 'epoch': 0.07}
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{'loss': 0.3769, 'grad_norm': 0.6754995584487915, 'learning_rate': 2.1769297484822203e-06, 'epoch': 0.07}
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{'loss': 0.4508, 'grad_norm': 0.7623719573020935, 'learning_rate': 2.1856027753686036e-06, 'epoch': 0.07}
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{'loss': 0.4412, 'grad_norm': 0.6883414387702942, 'learning_rate': 2.194275802254987e-06, 'epoch': 0.07}
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{'loss': 0.5021, 'grad_norm': 0.8785725235939026, 'learning_rate': 2.2029488291413708e-06, 'epoch': 0.07}
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2%|▏ | 254/11526 [02:39<1:55:59, 1.62it/s]
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{'loss': 0.4999, 'grad_norm': 0.9236719012260437, 'learning_rate': 2.2116218560277537e-06, 'epoch': 0.07}
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2%|▏ | 255/11526 [02:40<1:55:51, 1.62it/s]
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{'loss': 0.4236, 'grad_norm': 0.8259513974189758, 'learning_rate': 2.220294882914137e-06, 'epoch': 0.07}
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2%|▏ | 256/11526 [02:41<1:55:54, 1.62it/s]
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{'loss': 0.4464, 'grad_norm': 0.8425729274749756, 'learning_rate': 2.228967909800521e-06, 'epoch': 0.07}
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{'loss': 0.5109, 'grad_norm': 0.8704429864883423, 'learning_rate': 2.237640936686904e-06, 'epoch': 0.07}
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2%|▏ | 258/11526 [02:42<1:55:54, 1.62it/s]
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{'loss': 0.4504, 'grad_norm': 0.7601255774497986, 'learning_rate': 2.246313963573287e-06, 'epoch': 0.07}
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2%|▏ | 259/11526 [02:43<1:55:53, 1.62it/s]
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{'loss': 0.484, 'grad_norm': 0.9076888561248779, 'learning_rate': 2.2549869904596704e-06, 'epoch': 0.07}
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2%|▏ | 260/11526 [02:43<1:55:49, 1.62it/s]
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{'loss': 0.5263, 'grad_norm': 0.7861553430557251, 'learning_rate': 2.263660017346054e-06, 'epoch': 0.07}
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||
2%|▏ | 261/11526 [02:44<1:55:51, 1.62it/s]
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{'loss': 0.4669, 'grad_norm': 0.8085551857948303, 'learning_rate': 2.2723330442324375e-06, 'epoch': 0.07}
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||
2%|▏ | 262/11526 [02:44<1:55:53, 1.62it/s]
2%|▏ | 263/11526 [02:45<1:55:55, 1.62it/s]
{'loss': 0.5011, 'grad_norm': 0.7605535984039307, 'learning_rate': 2.2810060711188205e-06, 'epoch': 0.07}
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||
2%|▏ | 263/11526 [02:45<1:55:55, 1.62it/s]
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{'loss': 0.4594, 'grad_norm': 0.9364368319511414, 'learning_rate': 2.289679098005204e-06, 'epoch': 0.07}
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||
2%|▏ | 264/11526 [02:46<1:56:00, 1.62it/s]
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{'loss': 0.5565, 'grad_norm': 0.8769363164901733, 'learning_rate': 2.2983521248915876e-06, 'epoch': 0.07}
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||
2%|▏ | 265/11526 [02:46<1:55:54, 1.62it/s]
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{'loss': 0.5829, 'grad_norm': 0.9305436611175537, 'learning_rate': 2.3070251517779705e-06, 'epoch': 0.07}
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||
2%|▏ | 266/11526 [02:47<1:55:58, 1.62it/s]
2%|▏ | 267/11526 [02:47<1:56:02, 1.62it/s]
{'loss': 0.5152, 'grad_norm': 0.8357610106468201, 'learning_rate': 2.315698178664354e-06, 'epoch': 0.07}
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||
2%|▏ | 267/11526 [02:47<1:56:02, 1.62it/s]
2%|▏ | 268/11526 [02:48<1:56:02, 1.62it/s]
{'loss': 0.3704, 'grad_norm': 0.6150936484336853, 'learning_rate': 2.3243712055507376e-06, 'epoch': 0.07}
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2%|▏ | 268/11526 [02:48<1:56:02, 1.62it/s]
2%|▏ | 269/11526 [02:49<1:56:02, 1.62it/s]
{'loss': 0.5495, 'grad_norm': 0.8398849964141846, 'learning_rate': 2.333044232437121e-06, 'epoch': 0.07}
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||
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2%|▏ | 270/11526 [02:49<1:56:03, 1.62it/s]
{'loss': 0.5341, 'grad_norm': 0.919773280620575, 'learning_rate': 2.341717259323504e-06, 'epoch': 0.07}
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||
2%|▏ | 270/11526 [02:49<1:56:03, 1.62it/s]
2%|▏ | 271/11526 [02:50<1:56:00, 1.62it/s]
{'loss': 0.53, 'grad_norm': 0.9085887670516968, 'learning_rate': 2.3503902862098872e-06, 'epoch': 0.07}
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||
2%|▏ | 271/11526 [02:50<1:56:00, 1.62it/s]
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{'loss': 0.4364, 'grad_norm': 0.715894341468811, 'learning_rate': 2.359063313096271e-06, 'epoch': 0.07}
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||
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2%|▏ | 273/11526 [02:51<1:55:59, 1.62it/s]
{'loss': 0.4911, 'grad_norm': 0.9233723878860474, 'learning_rate': 2.3677363399826544e-06, 'epoch': 0.07}
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{'loss': 0.4436, 'grad_norm': 0.7409653067588806, 'learning_rate': 2.3764093668690373e-06, 'epoch': 0.07}
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{'loss': 0.5128, 'grad_norm': 0.8842470049858093, 'learning_rate': 2.3850823937554206e-06, 'epoch': 0.07}
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{'loss': 0.4791, 'grad_norm': 0.7243514657020569, 'learning_rate': 2.3937554206418044e-06, 'epoch': 0.07}
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{'loss': 0.3975, 'grad_norm': 1.13950777053833, 'learning_rate': 2.4024284475281878e-06, 'epoch': 0.07}
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{'loss': 0.4769, 'grad_norm': 0.8198620676994324, 'learning_rate': 2.4111014744145707e-06, 'epoch': 0.07}
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{'loss': 0.4653, 'grad_norm': 0.8040992021560669, 'learning_rate': 2.419774501300954e-06, 'epoch': 0.07}
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{'loss': 0.5751, 'grad_norm': 0.8148336410522461, 'learning_rate': 2.428447528187338e-06, 'epoch': 0.07}
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{'loss': 0.4751, 'grad_norm': 0.7908636927604675, 'learning_rate': 2.4371205550737207e-06, 'epoch': 0.07}
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{'loss': 0.6632, 'grad_norm': 0.92950838804245, 'learning_rate': 2.445793581960104e-06, 'epoch': 0.07}
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{'loss': 0.4736, 'grad_norm': 0.8463438749313354, 'learning_rate': 2.454466608846488e-06, 'epoch': 0.07}
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{'loss': 0.4028, 'grad_norm': 0.7083885073661804, 'learning_rate': 2.463139635732871e-06, 'epoch': 0.07}
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2%|▏ | 285/11526 [02:58<1:55:47, 1.62it/s]
{'loss': 0.3887, 'grad_norm': 0.6592311859130859, 'learning_rate': 2.471812662619254e-06, 'epoch': 0.07}
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2%|▏ | 286/11526 [02:59<1:55:47, 1.62it/s]
{'loss': 0.6346, 'grad_norm': 1.0245972871780396, 'learning_rate': 2.4804856895056375e-06, 'epoch': 0.07}
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{'loss': 0.501, 'grad_norm': 0.8079186677932739, 'learning_rate': 2.4891587163920212e-06, 'epoch': 0.07}
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2%|▏ | 288/11526 [03:00<1:55:42, 1.62it/s]
{'loss': 0.5456, 'grad_norm': 0.9552274942398071, 'learning_rate': 2.4978317432784046e-06, 'epoch': 0.07}
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{'loss': 0.5946, 'grad_norm': 0.8791469931602478, 'learning_rate': 2.5065047701647875e-06, 'epoch': 0.08}
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3%|▎ | 289/11526 [03:01<1:55:47, 1.62it/s]
3%|▎ | 290/11526 [03:02<1:55:45, 1.62it/s]
{'loss': 0.4731, 'grad_norm': 0.7295354604721069, 'learning_rate': 2.515177797051171e-06, 'epoch': 0.08}
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3%|▎ | 290/11526 [03:02<1:55:45, 1.62it/s]
3%|▎ | 291/11526 [03:02<1:55:45, 1.62it/s]
{'loss': 0.5044, 'grad_norm': 0.7993372678756714, 'learning_rate': 2.523850823937554e-06, 'epoch': 0.08}
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3%|▎ | 291/11526 [03:02<1:55:45, 1.62it/s]
3%|▎ | 292/11526 [03:03<1:55:43, 1.62it/s]
{'loss': 0.4275, 'grad_norm': 0.7936784029006958, 'learning_rate': 2.532523850823938e-06, 'epoch': 0.08}
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3%|▎ | 292/11526 [03:03<1:55:43, 1.62it/s]
3%|▎ | 293/11526 [03:03<1:55:44, 1.62it/s]
{'loss': 0.4477, 'grad_norm': 0.7995445132255554, 'learning_rate': 2.5411968777103213e-06, 'epoch': 0.08}
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3%|▎ | 293/11526 [03:04<1:55:44, 1.62it/s]
3%|▎ | 294/11526 [03:04<1:55:44, 1.62it/s]
{'loss': 0.444, 'grad_norm': 0.7885014414787292, 'learning_rate': 2.5498699045967047e-06, 'epoch': 0.08}
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3%|▎ | 294/11526 [03:04<1:55:44, 1.62it/s]
3%|▎ | 295/11526 [03:05<1:55:32, 1.62it/s]
{'loss': 0.4476, 'grad_norm': 0.7491124272346497, 'learning_rate': 2.558542931483088e-06, 'epoch': 0.08}
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3%|▎ | 295/11526 [03:05<1:55:32, 1.62it/s]
3%|▎ | 296/11526 [03:05<1:55:27, 1.62it/s]
{'loss': 0.4693, 'grad_norm': 0.8975275158882141, 'learning_rate': 2.567215958369471e-06, 'epoch': 0.08}
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3%|▎ | 296/11526 [03:05<1:55:27, 1.62it/s]
3%|▎ | 297/11526 [03:06<1:55:28, 1.62it/s]
{'loss': 0.5048, 'grad_norm': 0.7656221985816956, 'learning_rate': 2.5758889852558543e-06, 'epoch': 0.08}
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3%|▎ | 297/11526 [03:06<1:55:28, 1.62it/s]
3%|▎ | 298/11526 [03:06<1:55:34, 1.62it/s]
{'loss': 0.3705, 'grad_norm': 0.651519238948822, 'learning_rate': 2.5845620121422376e-06, 'epoch': 0.08}
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3%|▎ | 298/11526 [03:07<1:55:34, 1.62it/s]
3%|▎ | 299/11526 [03:07<1:55:29, 1.62it/s]
{'loss': 0.3507, 'grad_norm': 0.6464735865592957, 'learning_rate': 2.593235039028621e-06, 'epoch': 0.08}
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3%|▎ | 299/11526 [03:07<1:55:29, 1.62it/s]
3%|▎ | 300/11526 [03:08<1:55:29, 1.62it/s]
{'loss': 0.4744, 'grad_norm': 0.7804017066955566, 'learning_rate': 2.6019080659150048e-06, 'epoch': 0.08}
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3%|▎ | 300/11526 [03:08<1:55:29, 1.62it/s]
3%|▎ | 301/11526 [03:08<1:55:29, 1.62it/s]
{'loss': 0.4069, 'grad_norm': 0.5855188965797424, 'learning_rate': 2.610581092801388e-06, 'epoch': 0.08}
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3%|▎ | 301/11526 [03:08<1:55:29, 1.62it/s]
3%|▎ | 302/11526 [03:09<1:55:24, 1.62it/s]
{'loss': 0.4916, 'grad_norm': 0.7273641228675842, 'learning_rate': 2.6192541196877714e-06, 'epoch': 0.08}
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3%|▎ | 302/11526 [03:09<1:55:24, 1.62it/s]
3%|▎ | 303/11526 [03:10<1:55:22, 1.62it/s]
{'loss': 0.4877, 'grad_norm': 0.7542781233787537, 'learning_rate': 2.627927146574155e-06, 'epoch': 0.08}
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3%|▎ | 303/11526 [03:10<1:55:22, 1.62it/s]
3%|▎ | 304/11526 [03:10<1:55:45, 1.62it/s]
{'loss': 0.4429, 'grad_norm': 0.7797462344169617, 'learning_rate': 2.6366001734605377e-06, 'epoch': 0.08}
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3%|▎ | 304/11526 [03:10<1:55:45, 1.62it/s]
3%|▎ | 305/11526 [03:11<1:55:42, 1.62it/s]
{'loss': 0.4672, 'grad_norm': 0.8137367963790894, 'learning_rate': 2.645273200346921e-06, 'epoch': 0.08}
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3%|▎ | 305/11526 [03:11<1:55:42, 1.62it/s]
3%|▎ | 306/11526 [03:11<1:55:29, 1.62it/s]
{'loss': 0.4782, 'grad_norm': 0.8051887154579163, 'learning_rate': 2.6539462272333044e-06, 'epoch': 0.08}
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3%|▎ | 306/11526 [03:12<1:55:29, 1.62it/s]
3%|▎ | 307/11526 [03:12<1:55:15, 1.62it/s]
{'loss': 0.465, 'grad_norm': 0.8099355101585388, 'learning_rate': 2.662619254119688e-06, 'epoch': 0.08}
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3%|▎ | 307/11526 [03:12<1:55:15, 1.62it/s]
3%|▎ | 308/11526 [03:13<1:55:31, 1.62it/s]
{'loss': 0.4284, 'grad_norm': 0.7956909537315369, 'learning_rate': 2.6712922810060715e-06, 'epoch': 0.08}
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3%|▎ | 308/11526 [03:13<1:55:31, 1.62it/s]
3%|▎ | 309/11526 [03:13<1:55:30, 1.62it/s]
{'loss': 0.4518, 'grad_norm': 0.7926578521728516, 'learning_rate': 2.679965307892455e-06, 'epoch': 0.08}
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3%|▎ | 309/11526 [03:13<1:55:30, 1.62it/s]
3%|▎ | 310/11526 [03:14<1:55:20, 1.62it/s]
{'loss': 0.5641, 'grad_norm': 0.8888891339302063, 'learning_rate': 2.6886383347788382e-06, 'epoch': 0.08}
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3%|▎ | 310/11526 [03:14<1:55:20, 1.62it/s]
3%|▎ | 311/11526 [03:15<1:55:17, 1.62it/s]
{'loss': 0.4287, 'grad_norm': 0.799744188785553, 'learning_rate': 2.697311361665221e-06, 'epoch': 0.08}
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3%|▎ | 311/11526 [03:15<1:55:17, 1.62it/s]
3%|▎ | 312/11526 [03:15<1:55:15, 1.62it/s]
{'loss': 0.6268, 'grad_norm': 1.3034987449645996, 'learning_rate': 2.7059843885516045e-06, 'epoch': 0.08}
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3%|▎ | 312/11526 [03:15<1:55:15, 1.62it/s]
3%|▎ | 313/11526 [03:16<1:55:19, 1.62it/s]
{'loss': 0.4431, 'grad_norm': 0.6842606067657471, 'learning_rate': 2.714657415437988e-06, 'epoch': 0.08}
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{'loss': 0.4107, 'grad_norm': 0.7855454087257385, 'learning_rate': 2.723330442324371e-06, 'epoch': 0.08}
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{'loss': 0.4548, 'grad_norm': 0.7047145366668701, 'learning_rate': 2.732003469210755e-06, 'epoch': 0.08}
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{'loss': 0.4521, 'grad_norm': 0.8328726887702942, 'learning_rate': 2.7406764960971383e-06, 'epoch': 0.08}
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{'loss': 0.4983, 'grad_norm': 0.8834674954414368, 'learning_rate': 2.7493495229835217e-06, 'epoch': 0.08}
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{'loss': 0.4728, 'grad_norm': 0.8137502074241638, 'learning_rate': 2.758022549869905e-06, 'epoch': 0.08}
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{'loss': 0.5403, 'grad_norm': 0.8027554750442505, 'learning_rate': 2.766695576756288e-06, 'epoch': 0.08}
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{'loss': 0.6087, 'grad_norm': 0.8172733187675476, 'learning_rate': 2.7753686036426713e-06, 'epoch': 0.08}
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{'loss': 0.5812, 'grad_norm': 1.0325490236282349, 'learning_rate': 2.7840416305290546e-06, 'epoch': 0.08}
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{'loss': 0.5237, 'grad_norm': 0.7511606812477112, 'learning_rate': 2.7927146574154384e-06, 'epoch': 0.08}
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{'loss': 0.4585, 'grad_norm': 0.6904565095901489, 'learning_rate': 2.8013876843018218e-06, 'epoch': 0.08}
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{'loss': 0.4195, 'grad_norm': 0.6626433730125427, 'learning_rate': 2.810060711188205e-06, 'epoch': 0.08}
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{'loss': 0.5578, 'grad_norm': 0.8128219246864319, 'learning_rate': 2.8187337380745884e-06, 'epoch': 0.08}
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{'loss': 0.4964, 'grad_norm': 0.7322054505348206, 'learning_rate': 2.8274067649609714e-06, 'epoch': 0.08}
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{'loss': 0.4671, 'grad_norm': 0.6976147294044495, 'learning_rate': 2.8360797918473547e-06, 'epoch': 0.09}
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{'loss': 0.4694, 'grad_norm': 0.6896835565567017, 'learning_rate': 2.844752818733738e-06, 'epoch': 0.09}
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{'loss': 0.4406, 'grad_norm': 0.7392511367797852, 'learning_rate': 2.853425845620122e-06, 'epoch': 0.09}
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{'loss': 0.3702, 'grad_norm': 0.6997090578079224, 'learning_rate': 2.862098872506505e-06, 'epoch': 0.09}
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{'loss': 0.5204, 'grad_norm': 0.7851254940032959, 'learning_rate': 2.8707718993928885e-06, 'epoch': 0.09}
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{'loss': 0.4849, 'grad_norm': 0.871063768863678, 'learning_rate': 2.879444926279272e-06, 'epoch': 0.09}
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{'loss': 0.4297, 'grad_norm': 0.6995636224746704, 'learning_rate': 2.8881179531656552e-06, 'epoch': 0.09}
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{'loss': 0.5015, 'grad_norm': 0.817538857460022, 'learning_rate': 2.896790980052038e-06, 'epoch': 0.09}
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{'loss': 0.4899, 'grad_norm': 0.8032779097557068, 'learning_rate': 2.9054640069384215e-06, 'epoch': 0.09}
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3%|▎ | 335/11526 [03:30<1:57:03, 1.59it/s]
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{'loss': 0.4382, 'grad_norm': 0.7510805130004883, 'learning_rate': 2.914137033824805e-06, 'epoch': 0.09}
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{'loss': 0.53, 'grad_norm': 0.8694416284561157, 'learning_rate': 2.9228100607111886e-06, 'epoch': 0.09}
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{'loss': 0.3858, 'grad_norm': 0.5970102548599243, 'learning_rate': 2.931483087597572e-06, 'epoch': 0.09}
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{'loss': 0.5437, 'grad_norm': 0.7555249333381653, 'learning_rate': 2.9401561144839553e-06, 'epoch': 0.09}
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{'loss': 0.396, 'grad_norm': 0.655350387096405, 'learning_rate': 2.9488291413703387e-06, 'epoch': 0.09}
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{'loss': 0.4858, 'grad_norm': 0.7930605411529541, 'learning_rate': 2.9575021682567216e-06, 'epoch': 0.09}
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{'loss': 0.5224, 'grad_norm': 0.8194026947021484, 'learning_rate': 2.966175195143105e-06, 'epoch': 0.09}
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{'loss': 0.5006, 'grad_norm': 0.8258594274520874, 'learning_rate': 2.9748482220294883e-06, 'epoch': 0.09}
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{'loss': 0.3935, 'grad_norm': 0.7128439545631409, 'learning_rate': 2.983521248915872e-06, 'epoch': 0.09}
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{'loss': 0.6021, 'grad_norm': 0.9631819128990173, 'learning_rate': 2.9921942758022554e-06, 'epoch': 0.09}
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{'loss': 0.6476, 'grad_norm': 0.9687549471855164, 'learning_rate': 3.0008673026886387e-06, 'epoch': 0.09}
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{'loss': 0.4889, 'grad_norm': 0.72234046459198, 'learning_rate': 3.009540329575022e-06, 'epoch': 0.09}
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{'loss': 0.5986, 'grad_norm': 0.7172614932060242, 'learning_rate': 3.018213356461405e-06, 'epoch': 0.09}
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{'loss': 0.3709, 'grad_norm': 0.6439437866210938, 'learning_rate': 3.0268863833477884e-06, 'epoch': 0.09}
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{'loss': 0.4452, 'grad_norm': 0.7908746004104614, 'learning_rate': 3.0355594102341717e-06, 'epoch': 0.09}
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{'loss': 0.4234, 'grad_norm': 0.761121928691864, 'learning_rate': 3.044232437120555e-06, 'epoch': 0.09}
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{'loss': 0.4074, 'grad_norm': 0.6333280801773071, 'learning_rate': 3.052905464006939e-06, 'epoch': 0.09}
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{'loss': 0.4224, 'grad_norm': 0.7365403175354004, 'learning_rate': 3.061578490893322e-06, 'epoch': 0.09}
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{'loss': 0.4734, 'grad_norm': 0.779144823551178, 'learning_rate': 3.0702515177797055e-06, 'epoch': 0.09}
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{'loss': 0.4679, 'grad_norm': 0.7273516654968262, 'learning_rate': 3.078924544666089e-06, 'epoch': 0.09}
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{'loss': 0.3904, 'grad_norm': 0.6788473725318909, 'learning_rate': 3.087597571552472e-06, 'epoch': 0.09}
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{'loss': 0.3855, 'grad_norm': 0.6568129062652588, 'learning_rate': 3.096270598438855e-06, 'epoch': 0.09}
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{'loss': 0.5213, 'grad_norm': 0.7990548610687256, 'learning_rate': 3.1049436253252385e-06, 'epoch': 0.09}
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{'loss': 0.4633, 'grad_norm': 0.7317043542861938, 'learning_rate': 3.1136166522116223e-06, 'epoch': 0.09}
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{'loss': 0.4521, 'grad_norm': 0.8358280658721924, 'learning_rate': 3.1222896790980056e-06, 'epoch': 0.09}
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{'loss': 0.4556, 'grad_norm': 0.7991945743560791, 'learning_rate': 3.130962705984389e-06, 'epoch': 0.09}
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{'loss': 0.5447, 'grad_norm': 0.6881815195083618, 'learning_rate': 3.1396357328707723e-06, 'epoch': 0.09}
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{'loss': 0.4815, 'grad_norm': 0.6540077328681946, 'learning_rate': 3.1483087597571552e-06, 'epoch': 0.09}
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{'loss': 0.4687, 'grad_norm': 0.7201825380325317, 'learning_rate': 3.1569817866435386e-06, 'epoch': 0.09}
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{'loss': 0.4083, 'grad_norm': 0.6731961369514465, 'learning_rate': 3.165654813529922e-06, 'epoch': 0.1}
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{'loss': 0.5027, 'grad_norm': 0.7996076345443726, 'learning_rate': 3.1743278404163057e-06, 'epoch': 0.1}
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{'loss': 0.4292, 'grad_norm': 0.6320903301239014, 'learning_rate': 3.183000867302689e-06, 'epoch': 0.1}
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{'loss': 0.3954, 'grad_norm': 0.8092179894447327, 'learning_rate': 3.1916738941890724e-06, 'epoch': 0.1}
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{'loss': 0.435, 'grad_norm': 0.8509931564331055, 'learning_rate': 3.2003469210754557e-06, 'epoch': 0.1}
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{'loss': 0.4669, 'grad_norm': 0.686587393283844, 'learning_rate': 3.209019947961839e-06, 'epoch': 0.1}
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{'loss': 0.4668, 'grad_norm': 0.7930492758750916, 'learning_rate': 3.217692974848222e-06, 'epoch': 0.1}
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{'loss': 0.5656, 'grad_norm': 0.73323655128479, 'learning_rate': 3.2263660017346054e-06, 'epoch': 0.1}
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{'loss': 0.5403, 'grad_norm': 0.8316366672515869, 'learning_rate': 3.2350390286209887e-06, 'epoch': 0.1}
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{'loss': 0.4938, 'grad_norm': 0.7903643250465393, 'learning_rate': 3.2437120555073725e-06, 'epoch': 0.1}
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{'loss': 0.5318, 'grad_norm': 0.7630770802497864, 'learning_rate': 3.252385082393756e-06, 'epoch': 0.1}
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{'loss': 0.3796, 'grad_norm': 0.7427902221679688, 'learning_rate': 3.261058109280139e-06, 'epoch': 0.1}
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{'loss': 0.4446, 'grad_norm': 0.7550668716430664, 'learning_rate': 3.2697311361665225e-06, 'epoch': 0.1}
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{'loss': 0.3405, 'grad_norm': 0.6073533296585083, 'learning_rate': 3.2784041630529055e-06, 'epoch': 0.1}
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{'loss': 0.475, 'grad_norm': 0.7896513938903809, 'learning_rate': 3.287077189939289e-06, 'epoch': 0.1}
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{'loss': 0.404, 'grad_norm': 0.6171608567237854, 'learning_rate': 3.295750216825672e-06, 'epoch': 0.1}
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{'loss': 0.578, 'grad_norm': 0.9408411383628845, 'learning_rate': 3.304423243712056e-06, 'epoch': 0.1}
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{'loss': 0.4733, 'grad_norm': 0.6848828196525574, 'learning_rate': 3.3130962705984393e-06, 'epoch': 0.1}
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3%|▎ | 383/11526 [03:59<1:54:54, 1.62it/s]
{'loss': 0.3978, 'grad_norm': 0.7133733034133911, 'learning_rate': 3.3217692974848226e-06, 'epoch': 0.1}
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{'loss': 0.3843, 'grad_norm': 0.6871532797813416, 'learning_rate': 3.330442324371206e-06, 'epoch': 0.1}
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{'loss': 0.4096, 'grad_norm': 0.7488415837287903, 'learning_rate': 3.3391153512575893e-06, 'epoch': 0.1}
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{'loss': 0.4127, 'grad_norm': 0.6648820638656616, 'learning_rate': 3.3477883781439722e-06, 'epoch': 0.1}
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{'loss': 0.5066, 'grad_norm': 0.7179889678955078, 'learning_rate': 3.3564614050303556e-06, 'epoch': 0.1}
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{'loss': 0.3949, 'grad_norm': 0.7137555480003357, 'learning_rate': 3.365134431916739e-06, 'epoch': 0.1}
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{'loss': 0.5081, 'grad_norm': 1.0987062454223633, 'learning_rate': 3.3738074588031227e-06, 'epoch': 0.1}
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{'loss': 0.3669, 'grad_norm': 0.6701561808586121, 'learning_rate': 3.382480485689506e-06, 'epoch': 0.1}
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{'loss': 0.5143, 'grad_norm': 0.8905373811721802, 'learning_rate': 3.3911535125758894e-06, 'epoch': 0.1}
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{'loss': 0.4003, 'grad_norm': 0.7190313935279846, 'learning_rate': 3.3998265394622727e-06, 'epoch': 0.1}
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{'loss': 0.5048, 'grad_norm': 0.8081957697868347, 'learning_rate': 3.4084995663486557e-06, 'epoch': 0.1}
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{'loss': 0.5092, 'grad_norm': 0.8248569369316101, 'learning_rate': 3.417172593235039e-06, 'epoch': 0.1}
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{'loss': 0.4935, 'grad_norm': 0.8161707520484924, 'learning_rate': 3.4258456201214224e-06, 'epoch': 0.1}
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{'loss': 0.4303, 'grad_norm': 0.682453453540802, 'learning_rate': 3.434518647007806e-06, 'epoch': 0.1}
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{'loss': 0.5531, 'grad_norm': 0.8073570132255554, 'learning_rate': 3.4431916738941895e-06, 'epoch': 0.1}
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{'loss': 0.4117, 'grad_norm': 0.7479109168052673, 'learning_rate': 3.451864700780573e-06, 'epoch': 0.1}
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{'loss': 0.546, 'grad_norm': 0.918054461479187, 'learning_rate': 3.460537727666956e-06, 'epoch': 0.1}
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{'loss': 0.4294, 'grad_norm': 0.8408240079879761, 'learning_rate': 3.4692107545533395e-06, 'epoch': 0.1}
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0%| | 0/13 [00:00<?, ?it/s][A
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[A{'eval_loss': 0.8436405062675476, 'eval_runtime': 1.9754, 'eval_samples_per_second': 101.248, 'eval_steps_per_second': 6.581, 'epoch': 0.1}
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[A
3%|▎ | 401/11526 [04:12<3:45:02, 1.21s/it]
{'loss': 0.4142, 'grad_norm': 0.7738603353500366, 'learning_rate': 3.4778837814397225e-06, 'epoch': 0.1}
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{'loss': 0.46, 'grad_norm': 0.9230268597602844, 'learning_rate': 3.486556808326106e-06, 'epoch': 0.1}
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{'loss': 0.3884, 'grad_norm': 0.7134712934494019, 'learning_rate': 3.4952298352124896e-06, 'epoch': 0.1}
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{'loss': 0.4169, 'grad_norm': 0.6907707452774048, 'learning_rate': 3.503902862098873e-06, 'epoch': 0.11}
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{'loss': 0.5511, 'grad_norm': 0.7192000150680542, 'learning_rate': 3.5125758889852563e-06, 'epoch': 0.11}
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{'loss': 0.4347, 'grad_norm': 0.6796731352806091, 'learning_rate': 3.5212489158716396e-06, 'epoch': 0.11}
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{'loss': 0.3678, 'grad_norm': 0.6644582748413086, 'learning_rate': 3.529921942758023e-06, 'epoch': 0.11}
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{'loss': 0.4568, 'grad_norm': 0.7975987792015076, 'learning_rate': 3.538594969644406e-06, 'epoch': 0.11}
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{'loss': 0.4496, 'grad_norm': 0.7292632460594177, 'learning_rate': 3.5559410234171726e-06, 'epoch': 0.11}
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{'loss': 0.3314, 'grad_norm': 0.6336116194725037, 'learning_rate': 3.5646140503035564e-06, 'epoch': 0.11}
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{'loss': 0.4308, 'grad_norm': 0.7815155982971191, 'learning_rate': 3.5732870771899397e-06, 'epoch': 0.11}
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{'loss': 0.3587, 'grad_norm': 0.6310390830039978, 'learning_rate': 3.581960104076323e-06, 'epoch': 0.11}
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{'loss': 0.4195, 'grad_norm': 0.6449280381202698, 'learning_rate': 3.5906331309627064e-06, 'epoch': 0.11}
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{'loss': 0.4418, 'grad_norm': 0.7777904272079468, 'learning_rate': 3.5993061578490897e-06, 'epoch': 0.11}
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{'loss': 0.4489, 'grad_norm': 0.90255206823349, 'learning_rate': 3.6079791847354727e-06, 'epoch': 0.11}
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{'loss': 0.5081, 'grad_norm': 0.8227331042289734, 'learning_rate': 3.616652211621856e-06, 'epoch': 0.11}
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{'loss': 0.479, 'grad_norm': 0.8722947239875793, 'learning_rate': 3.62532523850824e-06, 'epoch': 0.11}
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{'loss': 0.4721, 'grad_norm': 0.6939603090286255, 'learning_rate': 3.6773633998265395e-06, 'epoch': 0.11}
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{'loss': 0.436, 'grad_norm': 0.6765546202659607, 'learning_rate': 3.6860364267129232e-06, 'epoch': 0.11}
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{'loss': 0.3838, 'grad_norm': 0.7155818343162537, 'learning_rate': 3.6947094535993066e-06, 'epoch': 0.11}
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{'loss': 0.4598, 'grad_norm': 0.7969728112220764, 'learning_rate': 3.70338248048569e-06, 'epoch': 0.11}
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{'loss': 0.3867, 'grad_norm': 0.7485313415527344, 'learning_rate': 3.7120555073720733e-06, 'epoch': 0.11}
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{'loss': 0.4351, 'grad_norm': 0.7587866187095642, 'learning_rate': 3.7207285342584566e-06, 'epoch': 0.11}
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{'loss': 0.4555, 'grad_norm': 0.7470924258232117, 'learning_rate': 3.72940156114484e-06, 'epoch': 0.11}
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{'loss': 0.5735, 'grad_norm': 0.879463791847229, 'learning_rate': 3.738074588031223e-06, 'epoch': 0.11}
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{'loss': 0.4335, 'grad_norm': 0.7269470691680908, 'learning_rate': 3.7467476149176062e-06, 'epoch': 0.11}
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{'loss': 0.4236, 'grad_norm': 0.7255732417106628, 'learning_rate': 3.78143972246314e-06, 'epoch': 0.11}
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{'loss': 0.4145, 'grad_norm': 0.6990090608596802, 'learning_rate': 3.7901127493495234e-06, 'epoch': 0.11}
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{'loss': 0.4307, 'grad_norm': 0.8664701581001282, 'learning_rate': 3.7987857762359063e-06, 'epoch': 0.11}
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{'loss': 0.4258, 'grad_norm': 0.6882883310317993, 'learning_rate': 3.8074588031222897e-06, 'epoch': 0.11}
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{'loss': 0.3927, 'grad_norm': 0.7198670506477356, 'learning_rate': 3.816131830008674e-06, 'epoch': 0.11}
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{'loss': 0.4245, 'grad_norm': 0.7020233869552612, 'learning_rate': 3.824804856895057e-06, 'epoch': 0.11}
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{'loss': 0.3734, 'grad_norm': 0.5998426675796509, 'learning_rate': 3.8334778837814406e-06, 'epoch': 0.12}
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{'loss': 0.3909, 'grad_norm': 0.687070369720459, 'learning_rate': 3.842150910667823e-06, 'epoch': 0.12}
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{'loss': 0.5381, 'grad_norm': 0.8387272953987122, 'learning_rate': 3.850823937554206e-06, 'epoch': 0.12}
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{'loss': 0.4455, 'grad_norm': 0.675404965877533, 'learning_rate': 3.85949696444059e-06, 'epoch': 0.12}
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{'loss': 0.4068, 'grad_norm': 0.7010311484336853, 'learning_rate': 3.868169991326973e-06, 'epoch': 0.12}
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{'loss': 0.439, 'grad_norm': 0.818248450756073, 'learning_rate': 3.8768430182133565e-06, 'epoch': 0.12}
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{'loss': 0.4494, 'grad_norm': 0.8068976402282715, 'learning_rate': 3.885516045099741e-06, 'epoch': 0.12}
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{'loss': 0.4115, 'grad_norm': 0.8430337905883789, 'learning_rate': 4.492627927146574e-06, 'epoch': 0.13}
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{'loss': 0.4641, 'grad_norm': 0.7127485871315002, 'learning_rate': 4.5013009540329575e-06, 'epoch': 0.14}
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{'loss': 0.4054, 'grad_norm': 0.6231193542480469, 'learning_rate': 4.509973980919341e-06, 'epoch': 0.14}
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{'loss': 0.4487, 'grad_norm': 0.7323324084281921, 'learning_rate': 4.518647007805724e-06, 'epoch': 0.14}
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{'loss': 0.4421, 'grad_norm': 0.7011528611183167, 'learning_rate': 4.527320034692108e-06, 'epoch': 0.14}
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{'loss': 0.4806, 'grad_norm': 0.810947597026825, 'learning_rate': 4.535993061578492e-06, 'epoch': 0.14}
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{'loss': 0.477, 'grad_norm': 0.8093245029449463, 'learning_rate': 4.544666088464875e-06, 'epoch': 0.14}
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{'loss': 0.3918, 'grad_norm': 0.6866489052772522, 'learning_rate': 4.5533391153512576e-06, 'epoch': 0.14}
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{'loss': 0.4806, 'grad_norm': 0.6820096969604492, 'learning_rate': 4.562012142237641e-06, 'epoch': 0.14}
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{'loss': 0.4109, 'grad_norm': 0.6663830876350403, 'learning_rate': 4.570685169124024e-06, 'epoch': 0.14}
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{'loss': 0.611, 'grad_norm': 0.7167218923568726, 'learning_rate': 4.579358196010408e-06, 'epoch': 0.14}
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{'loss': 0.3959, 'grad_norm': 0.7184093594551086, 'learning_rate': 4.588031222896792e-06, 'epoch': 0.14}
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{'loss': 0.3892, 'grad_norm': 0.6691920757293701, 'learning_rate': 4.596704249783175e-06, 'epoch': 0.14}
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{'loss': 0.4444, 'grad_norm': 0.6811487078666687, 'learning_rate': 4.6053772766695585e-06, 'epoch': 0.14}
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{'loss': 0.3683, 'grad_norm': 0.6388775706291199, 'learning_rate': 4.614050303555941e-06, 'epoch': 0.14}
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{'loss': 0.464, 'grad_norm': 0.6939169764518738, 'learning_rate': 4.622723330442324e-06, 'epoch': 0.14}
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{'loss': 0.3176, 'grad_norm': 0.6436537504196167, 'learning_rate': 4.631396357328708e-06, 'epoch': 0.14}
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{'loss': 0.325, 'grad_norm': 0.6319178342819214, 'learning_rate': 4.640069384215091e-06, 'epoch': 0.14}
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{'loss': 0.3781, 'grad_norm': 0.6574820876121521, 'learning_rate': 4.648742411101475e-06, 'epoch': 0.14}
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{'loss': 0.5594, 'grad_norm': 0.6719399094581604, 'learning_rate': 4.657415437987859e-06, 'epoch': 0.14}
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{'loss': 0.4602, 'grad_norm': 0.672275185585022, 'learning_rate': 4.666088464874242e-06, 'epoch': 0.14}
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{'loss': 0.4076, 'grad_norm': 0.7421301007270813, 'learning_rate': 4.674761491760625e-06, 'epoch': 0.14}
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{'loss': 0.4321, 'grad_norm': 0.7658659219741821, 'learning_rate': 4.683434518647008e-06, 'epoch': 0.14}
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{'loss': 0.3478, 'grad_norm': 0.5944129228591919, 'learning_rate': 4.692107545533391e-06, 'epoch': 0.14}
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{'loss': 0.4082, 'grad_norm': 0.7082988619804382, 'learning_rate': 4.7007805724197745e-06, 'epoch': 0.14}
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{'loss': 0.3403, 'grad_norm': 0.5929768681526184, 'learning_rate': 4.709453599306158e-06, 'epoch': 0.14}
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{'loss': 0.3871, 'grad_norm': 0.7475152015686035, 'learning_rate': 4.718126626192542e-06, 'epoch': 0.14}
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{'loss': 0.3651, 'grad_norm': 0.6970365047454834, 'learning_rate': 4.726799653078925e-06, 'epoch': 0.14}
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{'loss': 0.4066, 'grad_norm': 0.826568603515625, 'learning_rate': 4.735472679965309e-06, 'epoch': 0.14}
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{'loss': 0.3923, 'grad_norm': 0.7130035161972046, 'learning_rate': 4.744145706851691e-06, 'epoch': 0.14}
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{'loss': 0.4959, 'grad_norm': 0.8317971229553223, 'learning_rate': 4.7528187337380746e-06, 'epoch': 0.14}
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{'loss': 0.4085, 'grad_norm': 0.7221544981002808, 'learning_rate': 4.761491760624458e-06, 'epoch': 0.14}
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{'loss': 0.4501, 'grad_norm': 0.8954630494117737, 'learning_rate': 4.770164787510841e-06, 'epoch': 0.14}
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{'loss': 0.372, 'grad_norm': 0.6574524641036987, 'learning_rate': 4.7788378143972255e-06, 'epoch': 0.14}
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{'loss': 0.3858, 'grad_norm': 0.6956750750541687, 'learning_rate': 4.787510841283609e-06, 'epoch': 0.14}
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{'loss': 0.4131, 'grad_norm': 0.7007177472114563, 'learning_rate': 4.796183868169992e-06, 'epoch': 0.14}
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{'loss': 0.3374, 'grad_norm': 0.582796037197113, 'learning_rate': 4.8048568950563755e-06, 'epoch': 0.14}
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{'loss': 0.4838, 'grad_norm': 0.8321179151535034, 'learning_rate': 4.813529921942758e-06, 'epoch': 0.14}
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{'loss': 0.416, 'grad_norm': 0.7405956387519836, 'learning_rate': 4.822202948829141e-06, 'epoch': 0.14}
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{'loss': 0.4443, 'grad_norm': 0.7160441279411316, 'learning_rate': 4.830875975715525e-06, 'epoch': 0.14}
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{'loss': 0.4073, 'grad_norm': 0.6448276042938232, 'learning_rate': 4.839549002601908e-06, 'epoch': 0.15}
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{'loss': 0.3766, 'grad_norm': 0.6249399781227112, 'learning_rate': 4.848222029488292e-06, 'epoch': 0.15}
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{'loss': 0.4433, 'grad_norm': 0.7296474575996399, 'learning_rate': 4.856895056374676e-06, 'epoch': 0.15}
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{'loss': 0.3969, 'grad_norm': 0.7387452125549316, 'learning_rate': 4.865568083261059e-06, 'epoch': 0.15}
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{'loss': 0.3511, 'grad_norm': 0.6322174668312073, 'learning_rate': 4.8742411101474414e-06, 'epoch': 0.15}
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{'loss': 0.3251, 'grad_norm': 0.6100327968597412, 'learning_rate': 4.882914137033825e-06, 'epoch': 0.15}
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{'loss': 0.3848, 'grad_norm': 0.6025633215904236, 'learning_rate': 4.891587163920208e-06, 'epoch': 0.15}
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5%|▍ | 565/11526 [05:53<1:52:35, 1.62it/s]
{'loss': 0.4392, 'grad_norm': 0.7761245965957642, 'learning_rate': 4.9002601908065915e-06, 'epoch': 0.15}
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{'loss': 0.3437, 'grad_norm': 0.594966471195221, 'learning_rate': 4.908933217692976e-06, 'epoch': 0.15}
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{'loss': 0.3608, 'grad_norm': 0.5719125270843506, 'learning_rate': 4.917606244579359e-06, 'epoch': 0.15}
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5%|▍ | 568/11526 [05:55<1:52:30, 1.62it/s]
{'loss': 0.3647, 'grad_norm': 0.6692488193511963, 'learning_rate': 4.926279271465742e-06, 'epoch': 0.15}
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{'loss': 0.5057, 'grad_norm': 0.8100046515464783, 'learning_rate': 4.934952298352126e-06, 'epoch': 0.15}
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{'loss': 0.4536, 'grad_norm': 0.9842545390129089, 'learning_rate': 4.943625325238508e-06, 'epoch': 0.15}
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{'loss': 0.4804, 'grad_norm': 0.7130855917930603, 'learning_rate': 4.9522983521248916e-06, 'epoch': 0.15}
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{'loss': 0.495, 'grad_norm': 0.8368422985076904, 'learning_rate': 4.960971379011275e-06, 'epoch': 0.15}
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{'loss': 0.4624, 'grad_norm': 0.6840730309486389, 'learning_rate': 4.969644405897659e-06, 'epoch': 0.15}
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{'loss': 0.4041, 'grad_norm': 0.6755459308624268, 'learning_rate': 4.9783174327840425e-06, 'epoch': 0.15}
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{'loss': 0.4063, 'grad_norm': 0.6317890882492065, 'learning_rate': 4.986990459670426e-06, 'epoch': 0.15}
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{'loss': 0.3805, 'grad_norm': 0.6407385468482971, 'learning_rate': 4.995663486556809e-06, 'epoch': 0.15}
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{'loss': 0.4368, 'grad_norm': 0.8015986084938049, 'learning_rate': 5.004336513443192e-06, 'epoch': 0.15}
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{'loss': 0.5049, 'grad_norm': 0.7261749505996704, 'learning_rate': 5.013009540329575e-06, 'epoch': 0.15}
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{'loss': 0.3429, 'grad_norm': 0.5720138549804688, 'learning_rate': 5.021682567215958e-06, 'epoch': 0.15}
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{'loss': 0.4339, 'grad_norm': 0.7676470875740051, 'learning_rate': 5.030355594102342e-06, 'epoch': 0.15}
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{'loss': 0.4285, 'grad_norm': 0.7366043329238892, 'learning_rate': 5.039028620988725e-06, 'epoch': 0.15}
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{'loss': 0.3668, 'grad_norm': 0.7274613380432129, 'learning_rate': 5.047701647875108e-06, 'epoch': 0.15}
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{'loss': 0.4758, 'grad_norm': 0.7810908555984497, 'learning_rate': 5.056374674761492e-06, 'epoch': 0.15}
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{'loss': 0.4507, 'grad_norm': 0.752301037311554, 'learning_rate': 5.065047701647876e-06, 'epoch': 0.15}
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{'loss': 0.3714, 'grad_norm': 0.8189757466316223, 'learning_rate': 5.073720728534259e-06, 'epoch': 0.15}
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5%|▌ | 586/11526 [06:06<1:52:15, 1.62it/s]
{'loss': 0.4478, 'grad_norm': 0.7168189287185669, 'learning_rate': 5.082393755420643e-06, 'epoch': 0.15}
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5%|▌ | 587/11526 [06:07<1:52:26, 1.62it/s]
{'loss': 0.4083, 'grad_norm': 0.6339823007583618, 'learning_rate': 5.091066782307026e-06, 'epoch': 0.15}
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5%|▌ | 588/11526 [06:08<1:52:26, 1.62it/s]
{'loss': 0.4106, 'grad_norm': 0.7957248687744141, 'learning_rate': 5.099739809193409e-06, 'epoch': 0.15}
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{'loss': 0.4726, 'grad_norm': 0.8344278931617737, 'learning_rate': 5.108412836079793e-06, 'epoch': 0.15}
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{'loss': 0.4156, 'grad_norm': 0.7491523623466492, 'learning_rate': 5.117085862966176e-06, 'epoch': 0.15}
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{'loss': 0.4552, 'grad_norm': 0.7244550585746765, 'learning_rate': 5.125758889852559e-06, 'epoch': 0.15}
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{'loss': 0.3811, 'grad_norm': 0.6590360999107361, 'learning_rate': 5.134431916738942e-06, 'epoch': 0.15}
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{'loss': 0.3963, 'grad_norm': 0.6553525328636169, 'learning_rate': 5.143104943625325e-06, 'epoch': 0.15}
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{'loss': 0.3394, 'grad_norm': 0.7342849373817444, 'learning_rate': 5.1517779705117086e-06, 'epoch': 0.15}
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{'loss': 0.4275, 'grad_norm': 1.0718433856964111, 'learning_rate': 5.160450997398092e-06, 'epoch': 0.15}
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{'loss': 0.5753, 'grad_norm': 0.7880038022994995, 'learning_rate': 5.169124024284475e-06, 'epoch': 0.16}
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{'loss': 0.3203, 'grad_norm': 0.6099364757537842, 'learning_rate': 5.195143104943626e-06, 'epoch': 0.16}
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{'loss': 0.3288, 'grad_norm': 0.6318109035491943, 'learning_rate': 5.2038161318300095e-06, 'epoch': 0.16}
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0%| | 0/13 [00:00<?, ?it/s][A
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100%|██████████| 13/13 [00:01<00:00, 6.74it/s][A
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[A{'eval_loss': 0.8277760148048401, 'eval_runtime': 1.9567, 'eval_samples_per_second': 102.215, 'eval_steps_per_second': 6.644, 'epoch': 0.16}
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[A
5%|▌ | 601/11526 [06:18<3:39:15, 1.20s/it]
{'loss': 0.5251, 'grad_norm': 0.8516116738319397, 'learning_rate': 5.212489158716393e-06, 'epoch': 0.16}
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{'loss': 0.4933, 'grad_norm': 0.865422785282135, 'learning_rate': 5.221162185602776e-06, 'epoch': 0.16}
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{'loss': 0.3097, 'grad_norm': 0.6224344372749329, 'learning_rate': 5.2298352124891595e-06, 'epoch': 0.16}
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{'loss': 0.4253, 'grad_norm': 0.7784982919692993, 'learning_rate': 5.238508239375543e-06, 'epoch': 0.16}
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{'loss': 0.3857, 'grad_norm': 0.7433805465698242, 'learning_rate': 5.247181266261926e-06, 'epoch': 0.16}
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{'loss': 0.4133, 'grad_norm': 0.7097176909446716, 'learning_rate': 5.25585429314831e-06, 'epoch': 0.16}
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{'loss': 0.4756, 'grad_norm': 0.812838613986969, 'learning_rate': 5.264527320034692e-06, 'epoch': 0.16}
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{'loss': 0.4481, 'grad_norm': 0.7140307426452637, 'learning_rate': 5.2732003469210754e-06, 'epoch': 0.16}
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{'loss': 0.3882, 'grad_norm': 0.7785724401473999, 'learning_rate': 5.281873373807459e-06, 'epoch': 0.16}
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{'loss': 0.3604, 'grad_norm': 0.6865347027778625, 'learning_rate': 5.290546400693842e-06, 'epoch': 0.16}
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{'loss': 0.3654, 'grad_norm': 0.6348939538002014, 'learning_rate': 5.2992194275802255e-06, 'epoch': 0.16}
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{'loss': 0.4542, 'grad_norm': 0.7515613436698914, 'learning_rate': 5.307892454466609e-06, 'epoch': 0.16}
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{'loss': 0.3398, 'grad_norm': 0.6049278974533081, 'learning_rate': 5.316565481352992e-06, 'epoch': 0.16}
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{'loss': 0.4018, 'grad_norm': 0.729516863822937, 'learning_rate': 5.325238508239376e-06, 'epoch': 0.16}
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{'loss': 0.3954, 'grad_norm': 0.661711573600769, 'learning_rate': 5.33391153512576e-06, 'epoch': 0.16}
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{'loss': 0.4454, 'grad_norm': 0.7562820315361023, 'learning_rate': 5.342584562012143e-06, 'epoch': 0.16}
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{'loss': 0.4337, 'grad_norm': 0.6648319959640503, 'learning_rate': 5.351257588898526e-06, 'epoch': 0.16}
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{'loss': 0.4336, 'grad_norm': 0.7453455328941345, 'learning_rate': 5.35993061578491e-06, 'epoch': 0.16}
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{'loss': 0.4137, 'grad_norm': 0.6863594651222229, 'learning_rate': 5.368603642671293e-06, 'epoch': 0.16}
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{'loss': 0.3813, 'grad_norm': 0.7223635911941528, 'learning_rate': 5.3772766695576765e-06, 'epoch': 0.16}
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{'loss': 0.4745, 'grad_norm': 0.7769727110862732, 'learning_rate': 5.38594969644406e-06, 'epoch': 0.16}
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{'loss': 0.4003, 'grad_norm': 0.6247936487197876, 'learning_rate': 5.394622723330442e-06, 'epoch': 0.16}
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{'loss': 0.3835, 'grad_norm': 0.6962177753448486, 'learning_rate': 5.403295750216826e-06, 'epoch': 0.16}
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{'loss': 0.3266, 'grad_norm': 0.5521346926689148, 'learning_rate': 5.411968777103209e-06, 'epoch': 0.16}
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{'loss': 0.4881, 'grad_norm': 0.7635420560836792, 'learning_rate': 5.420641803989592e-06, 'epoch': 0.16}
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{'loss': 0.4195, 'grad_norm': 0.683856725692749, 'learning_rate': 5.429314830875976e-06, 'epoch': 0.16}
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{'loss': 0.4148, 'grad_norm': 0.8593076467514038, 'learning_rate': 5.437987857762359e-06, 'epoch': 0.16}
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{'loss': 0.3995, 'grad_norm': 0.7127716541290283, 'learning_rate': 5.446660884648742e-06, 'epoch': 0.16}
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{'loss': 0.4479, 'grad_norm': 0.8563690185546875, 'learning_rate': 5.455333911535127e-06, 'epoch': 0.16}
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{'loss': 0.4303, 'grad_norm': 0.6810048222541809, 'learning_rate': 5.46400693842151e-06, 'epoch': 0.16}
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{'loss': 0.3767, 'grad_norm': 0.6722681522369385, 'learning_rate': 5.472679965307893e-06, 'epoch': 0.16}
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{'loss': 0.3967, 'grad_norm': 0.7507127523422241, 'learning_rate': 5.481352992194277e-06, 'epoch': 0.16}
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{'loss': 0.4244, 'grad_norm': 0.702053964138031, 'learning_rate': 5.49002601908066e-06, 'epoch': 0.16}
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{'loss': 0.3541, 'grad_norm': 0.6062840819358826, 'learning_rate': 5.498699045967043e-06, 'epoch': 0.17}
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{'loss': 0.3666, 'grad_norm': 0.6902633905410767, 'learning_rate': 5.507372072853427e-06, 'epoch': 0.17}
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{'loss': 0.4465, 'grad_norm': 0.7360482215881348, 'learning_rate': 5.51604509973981e-06, 'epoch': 0.17}
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{'loss': 0.4704, 'grad_norm': 0.8006880283355713, 'learning_rate': 5.5247181266261925e-06, 'epoch': 0.17}
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{'loss': 0.5234, 'grad_norm': 0.7523778080940247, 'learning_rate': 5.533391153512576e-06, 'epoch': 0.17}
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{'loss': 0.3837, 'grad_norm': 0.6712956428527832, 'learning_rate': 5.542064180398959e-06, 'epoch': 0.17}
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{'loss': 0.3981, 'grad_norm': 0.6499000787734985, 'learning_rate': 5.5507372072853426e-06, 'epoch': 0.17}
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{'loss': 0.4782, 'grad_norm': 0.7593610286712646, 'learning_rate': 5.559410234171726e-06, 'epoch': 0.17}
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{'loss': 0.4122, 'grad_norm': 0.817128598690033, 'learning_rate': 5.568083261058109e-06, 'epoch': 0.17}
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{'loss': 0.4279, 'grad_norm': 0.8090819120407104, 'learning_rate': 5.576756287944493e-06, 'epoch': 0.17}
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{'loss': 0.4543, 'grad_norm': 0.6981033682823181, 'learning_rate': 5.585429314830877e-06, 'epoch': 0.17}
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{'loss': 0.3563, 'grad_norm': 0.6695054173469543, 'learning_rate': 5.59410234171726e-06, 'epoch': 0.17}
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{'loss': 0.4002, 'grad_norm': 0.6255576014518738, 'learning_rate': 5.6027753686036435e-06, 'epoch': 0.17}
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{'loss': 0.372, 'grad_norm': 0.5963560938835144, 'learning_rate': 5.611448395490027e-06, 'epoch': 0.17}
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{'loss': 0.4189, 'grad_norm': 0.6875995397567749, 'learning_rate': 5.62012142237641e-06, 'epoch': 0.17}
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{'loss': 0.3632, 'grad_norm': 0.6571831107139587, 'learning_rate': 5.6287944492627935e-06, 'epoch': 0.17}
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{'loss': 0.3732, 'grad_norm': 0.73530513048172, 'learning_rate': 5.637467476149177e-06, 'epoch': 0.17}
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{'loss': 0.3986, 'grad_norm': 0.7153792977333069, 'learning_rate': 5.64614050303556e-06, 'epoch': 0.17}
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{'loss': 0.408, 'grad_norm': 0.7042515277862549, 'learning_rate': 5.654813529921943e-06, 'epoch': 0.17}
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{'loss': 0.4053, 'grad_norm': 0.7995944023132324, 'learning_rate': 5.663486556808326e-06, 'epoch': 0.17}
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{'loss': 0.4447, 'grad_norm': 0.7605393528938293, 'learning_rate': 5.6721595836947094e-06, 'epoch': 0.17}
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{'loss': 0.4376, 'grad_norm': 0.8139204382896423, 'learning_rate': 5.680832610581093e-06, 'epoch': 0.17}
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{'loss': 0.4363, 'grad_norm': 0.8124903440475464, 'learning_rate': 5.689505637467476e-06, 'epoch': 0.17}
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{'loss': 0.3036, 'grad_norm': 0.6453284621238708, 'learning_rate': 5.6981786643538595e-06, 'epoch': 0.17}
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{'loss': 0.3601, 'grad_norm': 0.704792320728302, 'learning_rate': 5.706851691240244e-06, 'epoch': 0.17}
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{'loss': 0.5292, 'grad_norm': 0.864479124546051, 'learning_rate': 5.715524718126627e-06, 'epoch': 0.17}
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{'loss': 0.373, 'grad_norm': 0.7101563811302185, 'learning_rate': 5.72419774501301e-06, 'epoch': 0.17}
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{'loss': 0.4179, 'grad_norm': 0.7074534893035889, 'learning_rate': 5.732870771899394e-06, 'epoch': 0.17}
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{'loss': 0.3482, 'grad_norm': 0.673642098903656, 'learning_rate': 5.741543798785777e-06, 'epoch': 0.17}
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{'loss': 0.3772, 'grad_norm': 0.7207738161087036, 'learning_rate': 5.75021682567216e-06, 'epoch': 0.17}
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{'loss': 0.452, 'grad_norm': 0.7771927714347839, 'learning_rate': 5.758889852558544e-06, 'epoch': 0.17}
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{'loss': 0.3511, 'grad_norm': 0.6626598238945007, 'learning_rate': 5.767562879444927e-06, 'epoch': 0.17}
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{'loss': 0.4722, 'grad_norm': 0.8726609349250793, 'learning_rate': 5.7762359063313105e-06, 'epoch': 0.17}
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{'loss': 0.4453, 'grad_norm': 0.7692903876304626, 'learning_rate': 5.784908933217693e-06, 'epoch': 0.17}
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{'loss': 0.3389, 'grad_norm': 0.6361052989959717, 'learning_rate': 5.793581960104076e-06, 'epoch': 0.17}
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{'loss': 0.4245, 'grad_norm': 0.7561235427856445, 'learning_rate': 5.80225498699046e-06, 'epoch': 0.17}
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{'loss': 0.4333, 'grad_norm': 0.8586171865463257, 'learning_rate': 5.810928013876843e-06, 'epoch': 0.17}
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{'loss': 0.4232, 'grad_norm': 0.6692326068878174, 'learning_rate': 5.819601040763226e-06, 'epoch': 0.17}
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{'loss': 0.3572, 'grad_norm': 0.678993284702301, 'learning_rate': 5.82827406764961e-06, 'epoch': 0.17}
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{'loss': 0.3759, 'grad_norm': 0.6678770184516907, 'learning_rate': 5.836947094535994e-06, 'epoch': 0.18}
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{'loss': 0.3637, 'grad_norm': 0.6033802628517151, 'learning_rate': 5.845620121422377e-06, 'epoch': 0.18}
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{'loss': 0.4651, 'grad_norm': 0.6968647241592407, 'learning_rate': 5.854293148308761e-06, 'epoch': 0.18}
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{'loss': 0.2911, 'grad_norm': 0.6785936951637268, 'learning_rate': 5.862966175195144e-06, 'epoch': 0.18}
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{'loss': 0.5108, 'grad_norm': 0.7493978142738342, 'learning_rate': 5.871639202081527e-06, 'epoch': 0.18}
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{'loss': 0.393, 'grad_norm': 0.7035509943962097, 'learning_rate': 5.880312228967911e-06, 'epoch': 0.18}
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{'loss': 0.3535, 'grad_norm': 0.8260535597801208, 'learning_rate': 5.888985255854294e-06, 'epoch': 0.18}
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{'loss': 0.4195, 'grad_norm': 0.7198976874351501, 'learning_rate': 5.897658282740677e-06, 'epoch': 0.18}
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{'loss': 0.4544, 'grad_norm': 0.8647755980491638, 'learning_rate': 5.90633130962706e-06, 'epoch': 0.18}
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{'loss': 0.3607, 'grad_norm': 0.6065459251403809, 'learning_rate': 5.915004336513443e-06, 'epoch': 0.18}
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{'loss': 0.321, 'grad_norm': 0.6130356192588806, 'learning_rate': 5.9236773633998265e-06, 'epoch': 0.18}
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{'loss': 0.3468, 'grad_norm': 0.7903779745101929, 'learning_rate': 5.93235039028621e-06, 'epoch': 0.18}
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{'loss': 0.3648, 'grad_norm': 0.6771460175514221, 'learning_rate': 5.941023417172593e-06, 'epoch': 0.18}
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{'loss': 0.3304, 'grad_norm': 0.6622586846351624, 'learning_rate': 5.9496964440589766e-06, 'epoch': 0.18}
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{'loss': 0.4226, 'grad_norm': 0.7631015181541443, 'learning_rate': 5.95836947094536e-06, 'epoch': 0.18}
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{'loss': 0.4445, 'grad_norm': 0.8758919835090637, 'learning_rate': 5.967042497831744e-06, 'epoch': 0.18}
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{'loss': 0.3256, 'grad_norm': 0.6754420399665833, 'learning_rate': 5.9757155247181275e-06, 'epoch': 0.18}
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{'loss': 0.3736, 'grad_norm': 0.7025169730186462, 'learning_rate': 5.984388551604511e-06, 'epoch': 0.18}
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{'loss': 0.5128, 'grad_norm': 0.7584311962127686, 'learning_rate': 5.993061578490894e-06, 'epoch': 0.18}
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{'loss': 0.4513, 'grad_norm': 0.7602017521858215, 'learning_rate': 6.0017346053772775e-06, 'epoch': 0.18}
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{'loss': 0.4106, 'grad_norm': 0.7211409211158752, 'learning_rate': 6.010407632263661e-06, 'epoch': 0.18}
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{'loss': 0.3913, 'grad_norm': 0.8201491236686707, 'learning_rate': 6.019080659150044e-06, 'epoch': 0.18}
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{'loss': 0.4042, 'grad_norm': 0.731590986251831, 'learning_rate': 6.0277536860364275e-06, 'epoch': 0.18}
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{'loss': 0.3312, 'grad_norm': 0.666768491268158, 'learning_rate': 6.03642671292281e-06, 'epoch': 0.18}
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{'loss': 0.4788, 'grad_norm': 0.8642355799674988, 'learning_rate': 6.045099739809193e-06, 'epoch': 0.18}
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{'loss': 0.3597, 'grad_norm': 0.6812474131584167, 'learning_rate': 6.053772766695577e-06, 'epoch': 0.18}
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{'loss': 0.352, 'grad_norm': 0.8071223497390747, 'learning_rate': 6.06244579358196e-06, 'epoch': 0.18}
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{'loss': 0.3365, 'grad_norm': 0.6415539383888245, 'learning_rate': 6.0711188204683434e-06, 'epoch': 0.18}
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6%|▌ | 701/11526 [07:19<1:51:07, 1.62it/s]
{'loss': 0.3526, 'grad_norm': 0.785638689994812, 'learning_rate': 6.079791847354727e-06, 'epoch': 0.18}
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{'loss': 0.3965, 'grad_norm': 0.7369773983955383, 'learning_rate': 6.08846487424111e-06, 'epoch': 0.18}
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{'loss': 0.4333, 'grad_norm': 0.7616879343986511, 'learning_rate': 6.097137901127494e-06, 'epoch': 0.18}
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6%|▌ | 704/11526 [07:21<1:51:04, 1.62it/s]
{'loss': 0.3108, 'grad_norm': 0.6483084559440613, 'learning_rate': 6.105810928013878e-06, 'epoch': 0.18}
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{'loss': 0.3998, 'grad_norm': 0.8608818054199219, 'learning_rate': 6.114483954900261e-06, 'epoch': 0.18}
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6%|▌ | 706/11526 [07:22<1:51:03, 1.62it/s]
{'loss': 0.3554, 'grad_norm': 0.7020348310470581, 'learning_rate': 6.123156981786644e-06, 'epoch': 0.18}
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6%|▌ | 707/11526 [07:23<1:51:01, 1.62it/s]
{'loss': 0.4039, 'grad_norm': 0.6991458535194397, 'learning_rate': 6.131830008673028e-06, 'epoch': 0.18}
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{'loss': 0.4194, 'grad_norm': 0.8185877799987793, 'learning_rate': 6.140503035559411e-06, 'epoch': 0.18}
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{'loss': 0.3881, 'grad_norm': 0.8268315196037292, 'learning_rate': 6.149176062445794e-06, 'epoch': 0.18}
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{'loss': 0.4213, 'grad_norm': 0.7795161008834839, 'learning_rate': 6.157849089332178e-06, 'epoch': 0.18}
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6%|▌ | 710/11526 [07:25<1:51:05, 1.62it/s]
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{'loss': 0.4904, 'grad_norm': 0.8342912793159485, 'learning_rate': 6.16652211621856e-06, 'epoch': 0.19}
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{'loss': 0.4362, 'grad_norm': 0.7214239239692688, 'learning_rate': 6.175195143104944e-06, 'epoch': 0.19}
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6%|▌ | 713/11526 [07:27<1:51:02, 1.62it/s]
{'loss': 0.4309, 'grad_norm': 0.7811275124549866, 'learning_rate': 6.183868169991327e-06, 'epoch': 0.19}
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{'loss': 0.3367, 'grad_norm': 0.6584367752075195, 'learning_rate': 6.19254119687771e-06, 'epoch': 0.19}
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{'loss': 0.4319, 'grad_norm': 0.8556516170501709, 'learning_rate': 6.201214223764094e-06, 'epoch': 0.19}
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{'loss': 0.3365, 'grad_norm': 0.6348908543586731, 'learning_rate': 6.209887250650477e-06, 'epoch': 0.19}
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6%|▌ | 716/11526 [07:29<1:51:11, 1.62it/s]
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{'loss': 0.3149, 'grad_norm': 0.6364282965660095, 'learning_rate': 6.218560277536861e-06, 'epoch': 0.19}
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{'loss': 0.5053, 'grad_norm': 0.8278027176856995, 'learning_rate': 6.2272333044232445e-06, 'epoch': 0.19}
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{'loss': 0.3632, 'grad_norm': 0.7414032816886902, 'learning_rate': 6.235906331309628e-06, 'epoch': 0.19}
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6%|▌ | 720/11526 [07:31<1:51:01, 1.62it/s]
{'loss': 0.4039, 'grad_norm': 0.8173367977142334, 'learning_rate': 6.244579358196011e-06, 'epoch': 0.19}
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6%|▌ | 720/11526 [07:31<1:51:01, 1.62it/s]
6%|▋ | 721/11526 [07:32<1:50:54, 1.62it/s]
{'loss': 0.3312, 'grad_norm': 0.692030668258667, 'learning_rate': 6.253252385082395e-06, 'epoch': 0.19}
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{'loss': 0.3877, 'grad_norm': 0.7351370453834534, 'learning_rate': 6.261925411968778e-06, 'epoch': 0.19}
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{'loss': 0.4981, 'grad_norm': 0.8904139399528503, 'learning_rate': 6.270598438855161e-06, 'epoch': 0.19}
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{'loss': 0.3106, 'grad_norm': 0.7477068901062012, 'learning_rate': 6.279271465741545e-06, 'epoch': 0.19}
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{'loss': 0.5024, 'grad_norm': 0.8378632664680481, 'learning_rate': 6.287944492627928e-06, 'epoch': 0.19}
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{'loss': 0.3964, 'grad_norm': 0.7309871315956116, 'learning_rate': 6.2966175195143105e-06, 'epoch': 0.19}
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{'loss': 0.4431, 'grad_norm': 0.686634361743927, 'learning_rate': 6.305290546400694e-06, 'epoch': 0.19}
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{'loss': 0.3976, 'grad_norm': 0.7263730764389038, 'learning_rate': 6.313963573287077e-06, 'epoch': 0.19}
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{'loss': 0.2691, 'grad_norm': 0.5932652354240417, 'learning_rate': 6.3226366001734605e-06, 'epoch': 0.19}
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{'loss': 0.483, 'grad_norm': 0.7892284393310547, 'learning_rate': 6.331309627059844e-06, 'epoch': 0.19}
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{'loss': 0.3184, 'grad_norm': 0.6759921908378601, 'learning_rate': 6.339982653946227e-06, 'epoch': 0.19}
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{'loss': 0.3971, 'grad_norm': 0.7926105856895447, 'learning_rate': 6.348655680832611e-06, 'epoch': 0.19}
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{'loss': 0.3791, 'grad_norm': 0.7854400277137756, 'learning_rate': 6.357328707718995e-06, 'epoch': 0.19}
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{'loss': 0.3828, 'grad_norm': 0.7191298007965088, 'learning_rate': 6.366001734605378e-06, 'epoch': 0.19}
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{'loss': 0.3224, 'grad_norm': 0.6002159118652344, 'learning_rate': 6.3746747614917615e-06, 'epoch': 0.19}
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{'loss': 0.3399, 'grad_norm': 0.7986701726913452, 'learning_rate': 6.383347788378145e-06, 'epoch': 0.19}
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{'loss': 0.4375, 'grad_norm': 0.7030100226402283, 'learning_rate': 6.392020815264528e-06, 'epoch': 0.19}
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{'loss': 0.3473, 'grad_norm': 0.7116193175315857, 'learning_rate': 6.4006938421509115e-06, 'epoch': 0.19}
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{'loss': 0.4066, 'grad_norm': 0.8682845234870911, 'learning_rate': 6.409366869037295e-06, 'epoch': 0.19}
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{'loss': 0.4303, 'grad_norm': 0.7984737157821655, 'learning_rate': 6.418039895923678e-06, 'epoch': 0.19}
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{'loss': 0.3462, 'grad_norm': 0.8835185170173645, 'learning_rate': 6.426712922810061e-06, 'epoch': 0.19}
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{'loss': 0.4372, 'grad_norm': 0.7319797873497009, 'learning_rate': 6.435385949696444e-06, 'epoch': 0.19}
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{'loss': 0.3582, 'grad_norm': 0.6791582107543945, 'learning_rate': 6.444058976582827e-06, 'epoch': 0.19}
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{'loss': 0.425, 'grad_norm': 0.8135459423065186, 'learning_rate': 6.452732003469211e-06, 'epoch': 0.19}
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{'loss': 0.5121, 'grad_norm': 1.1523535251617432, 'learning_rate': 6.461405030355594e-06, 'epoch': 0.19}
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{'loss': 0.3832, 'grad_norm': 0.6926369667053223, 'learning_rate': 6.4700780572419774e-06, 'epoch': 0.19}
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{'loss': 0.2742, 'grad_norm': 0.7597611546516418, 'learning_rate': 6.478751084128362e-06, 'epoch': 0.19}
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{'loss': 0.3067, 'grad_norm': 0.6464918851852417, 'learning_rate': 6.487424111014745e-06, 'epoch': 0.19}
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{'loss': 0.3462, 'grad_norm': 0.7140690684318542, 'learning_rate': 6.496097137901128e-06, 'epoch': 0.19}
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{'loss': 0.3991, 'grad_norm': 0.6659241914749146, 'learning_rate': 6.504770164787512e-06, 'epoch': 0.2}
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{'loss': 0.4084, 'grad_norm': 0.7160258889198303, 'learning_rate': 6.513443191673895e-06, 'epoch': 0.2}
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{'loss': 0.5371, 'grad_norm': 0.7184198498725891, 'learning_rate': 6.522116218560278e-06, 'epoch': 0.2}
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{'loss': 0.3476, 'grad_norm': 0.6188551783561707, 'learning_rate': 6.530789245446662e-06, 'epoch': 0.2}
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{'loss': 0.2819, 'grad_norm': 0.6014720797538757, 'learning_rate': 6.539462272333045e-06, 'epoch': 0.2}
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{'loss': 0.407, 'grad_norm': 0.7019389271736145, 'learning_rate': 6.548135299219428e-06, 'epoch': 0.2}
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{'loss': 0.3979, 'grad_norm': 0.793718695640564, 'learning_rate': 6.556808326105811e-06, 'epoch': 0.2}
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{'loss': 0.3528, 'grad_norm': 0.63706374168396, 'learning_rate': 6.565481352992194e-06, 'epoch': 0.2}
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{'loss': 0.3285, 'grad_norm': 0.6330990791320801, 'learning_rate': 6.574154379878578e-06, 'epoch': 0.2}
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{'loss': 0.4314, 'grad_norm': 0.6847608089447021, 'learning_rate': 6.582827406764961e-06, 'epoch': 0.2}
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{'loss': 0.427, 'grad_norm': 0.7705488204956055, 'learning_rate': 6.591500433651344e-06, 'epoch': 0.2}
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{'loss': 0.3258, 'grad_norm': 0.5987486243247986, 'learning_rate': 6.600173460537728e-06, 'epoch': 0.2}
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{'loss': 0.3792, 'grad_norm': 0.6566416621208191, 'learning_rate': 6.608846487424112e-06, 'epoch': 0.2}
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{'loss': 0.4188, 'grad_norm': 0.6747887134552002, 'learning_rate': 6.617519514310495e-06, 'epoch': 0.2}
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{'loss': 0.3861, 'grad_norm': 0.8108258247375488, 'learning_rate': 6.6261925411968785e-06, 'epoch': 0.2}
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7%|▋ | 765/11526 [07:59<1:50:28, 1.62it/s]
{'loss': 0.4567, 'grad_norm': 0.7089862823486328, 'learning_rate': 6.634865568083262e-06, 'epoch': 0.2}
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7%|▋ | 766/11526 [07:59<1:50:28, 1.62it/s]
{'loss': 0.3824, 'grad_norm': 0.7166500091552734, 'learning_rate': 6.643538594969645e-06, 'epoch': 0.2}
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7%|▋ | 767/11526 [08:00<1:50:27, 1.62it/s]
{'loss': 0.4085, 'grad_norm': 0.7435932159423828, 'learning_rate': 6.652211621856029e-06, 'epoch': 0.2}
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7%|▋ | 767/11526 [08:00<1:50:27, 1.62it/s]
7%|▋ | 768/11526 [08:00<1:50:21, 1.62it/s]
{'loss': 0.3269, 'grad_norm': 0.6162803769111633, 'learning_rate': 6.660884648742412e-06, 'epoch': 0.2}
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7%|▋ | 768/11526 [08:01<1:50:21, 1.62it/s]
7%|▋ | 769/11526 [08:01<1:50:19, 1.62it/s]
{'loss': 0.4502, 'grad_norm': 0.8063548803329468, 'learning_rate': 6.669557675628795e-06, 'epoch': 0.2}
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7%|▋ | 769/11526 [08:01<1:50:19, 1.62it/s]
7%|▋ | 770/11526 [08:02<1:50:25, 1.62it/s]
{'loss': 0.3683, 'grad_norm': 0.8223588466644287, 'learning_rate': 6.678230702515179e-06, 'epoch': 0.2}
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7%|▋ | 770/11526 [08:02<1:50:25, 1.62it/s]
7%|▋ | 771/11526 [08:02<1:50:24, 1.62it/s]
{'loss': 0.3191, 'grad_norm': 0.5688366293907166, 'learning_rate': 6.686903729401561e-06, 'epoch': 0.2}
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7%|▋ | 771/11526 [08:02<1:50:24, 1.62it/s]
7%|▋ | 772/11526 [08:03<1:50:22, 1.62it/s]
{'loss': 0.4245, 'grad_norm': 0.7287966012954712, 'learning_rate': 6.6955767562879445e-06, 'epoch': 0.2}
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7%|▋ | 772/11526 [08:03<1:50:22, 1.62it/s]
7%|▋ | 773/11526 [08:04<1:50:19, 1.62it/s]
{'loss': 0.3832, 'grad_norm': 0.6673471331596375, 'learning_rate': 6.704249783174328e-06, 'epoch': 0.2}
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7%|▋ | 773/11526 [08:04<1:50:19, 1.62it/s]
7%|▋ | 774/11526 [08:04<1:50:14, 1.63it/s]
{'loss': 0.4026, 'grad_norm': 0.7545210719108582, 'learning_rate': 6.712922810060711e-06, 'epoch': 0.2}
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7%|▋ | 774/11526 [08:04<1:50:14, 1.63it/s]
7%|▋ | 775/11526 [08:05<1:50:21, 1.62it/s]
{'loss': 0.3773, 'grad_norm': 0.7263842225074768, 'learning_rate': 6.7215958369470945e-06, 'epoch': 0.2}
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7%|▋ | 775/11526 [08:05<1:50:21, 1.62it/s]
7%|▋ | 776/11526 [08:05<1:50:14, 1.63it/s]
{'loss': 0.4497, 'grad_norm': 0.7241200804710388, 'learning_rate': 6.730268863833478e-06, 'epoch': 0.2}
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7%|▋ | 776/11526 [08:06<1:50:14, 1.63it/s]
7%|▋ | 777/11526 [08:06<1:50:25, 1.62it/s]
{'loss': 0.3352, 'grad_norm': 0.6227957010269165, 'learning_rate': 6.738941890719862e-06, 'epoch': 0.2}
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7%|▋ | 777/11526 [08:06<1:50:25, 1.62it/s]
7%|▋ | 778/11526 [08:07<1:50:18, 1.62it/s]
{'loss': 0.3992, 'grad_norm': 0.7485185265541077, 'learning_rate': 6.747614917606245e-06, 'epoch': 0.2}
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7%|▋ | 778/11526 [08:07<1:50:18, 1.62it/s]
7%|▋ | 779/11526 [08:07<1:50:13, 1.63it/s]
{'loss': 0.3615, 'grad_norm': 0.6314504146575928, 'learning_rate': 6.756287944492629e-06, 'epoch': 0.2}
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7%|▋ | 779/11526 [08:07<1:50:13, 1.63it/s]
7%|▋ | 780/11526 [08:08<1:50:15, 1.62it/s]
{'loss': 0.447, 'grad_norm': 0.7672885656356812, 'learning_rate': 6.764960971379012e-06, 'epoch': 0.2}
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7%|▋ | 780/11526 [08:08<1:50:15, 1.62it/s]
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{'loss': 0.3817, 'grad_norm': 0.8407154083251953, 'learning_rate': 6.7736339982653955e-06, 'epoch': 0.2}
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7%|▋ | 781/11526 [08:09<1:50:10, 1.63it/s]
7%|▋ | 782/11526 [08:09<1:50:45, 1.62it/s]
{'loss': 0.4367, 'grad_norm': 0.7562662363052368, 'learning_rate': 6.782307025151779e-06, 'epoch': 0.2}
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7%|▋ | 782/11526 [08:09<1:50:45, 1.62it/s]
7%|▋ | 783/11526 [08:10<1:50:29, 1.62it/s]
{'loss': 0.339, 'grad_norm': 0.6242331862449646, 'learning_rate': 6.790980052038162e-06, 'epoch': 0.2}
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7%|▋ | 783/11526 [08:10<1:50:29, 1.62it/s]
7%|▋ | 784/11526 [08:10<1:50:24, 1.62it/s]
{'loss': 0.3572, 'grad_norm': 0.6413666605949402, 'learning_rate': 6.7996530789245455e-06, 'epoch': 0.2}
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7%|▋ | 784/11526 [08:10<1:50:24, 1.62it/s]
7%|▋ | 785/11526 [08:11<1:50:22, 1.62it/s]
{'loss': 0.4377, 'grad_norm': 0.7122604250907898, 'learning_rate': 6.808326105810929e-06, 'epoch': 0.2}
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7%|▋ | 785/11526 [08:11<1:50:22, 1.62it/s]
7%|▋ | 786/11526 [08:12<1:50:23, 1.62it/s]
{'loss': 0.378, 'grad_norm': 0.7381094098091125, 'learning_rate': 6.816999132697311e-06, 'epoch': 0.2}
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7%|▋ | 786/11526 [08:12<1:50:23, 1.62it/s]
7%|▋ | 787/11526 [08:12<1:50:25, 1.62it/s]
{'loss': 0.41, 'grad_norm': 0.8357268571853638, 'learning_rate': 6.825672159583695e-06, 'epoch': 0.2}
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7%|▋ | 787/11526 [08:12<1:50:25, 1.62it/s]
7%|▋ | 788/11526 [08:13<1:50:15, 1.62it/s]
{'loss': 0.3783, 'grad_norm': 0.702508270740509, 'learning_rate': 6.834345186470078e-06, 'epoch': 0.21}
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7%|▋ | 788/11526 [08:13<1:50:15, 1.62it/s]
7%|▋ | 789/11526 [08:13<1:50:10, 1.62it/s]
{'loss': 0.3491, 'grad_norm': 0.7558185458183289, 'learning_rate': 6.843018213356461e-06, 'epoch': 0.21}
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7%|▋ | 789/11526 [08:14<1:50:10, 1.62it/s]
7%|▋ | 790/11526 [08:14<1:50:42, 1.62it/s]
{'loss': 0.3532, 'grad_norm': 0.6314918398857117, 'learning_rate': 6.851691240242845e-06, 'epoch': 0.21}
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{'loss': 0.3724, 'grad_norm': 0.735069215297699, 'learning_rate': 6.860364267129229e-06, 'epoch': 0.21}
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{'loss': 0.3676, 'grad_norm': 0.7373847961425781, 'learning_rate': 6.869037294015612e-06, 'epoch': 0.21}
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{'loss': 0.3185, 'grad_norm': 0.6867648363113403, 'learning_rate': 6.877710320901996e-06, 'epoch': 0.21}
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{'loss': 0.3486, 'grad_norm': 0.6845462918281555, 'learning_rate': 6.886383347788379e-06, 'epoch': 0.21}
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{'loss': 0.3211, 'grad_norm': 0.6122089624404907, 'learning_rate': 6.929748482220296e-06, 'epoch': 0.21}
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0%| | 0/13 [00:00<?, ?it/s][A
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[A{'eval_loss': 0.8008062839508057, 'eval_runtime': 1.9568, 'eval_samples_per_second': 102.209, 'eval_steps_per_second': 6.644, 'epoch': 0.21}
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[A
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{'loss': 0.4708, 'grad_norm': 0.7538439035415649, 'learning_rate': 6.9470945359930616e-06, 'epoch': 0.21}
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{'loss': 0.3928, 'grad_norm': 0.7297358512878418, 'learning_rate': 6.955767562879445e-06, 'epoch': 0.21}
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{'loss': 0.3763, 'grad_norm': 0.6727347373962402, 'learning_rate': 6.964440589765828e-06, 'epoch': 0.21}
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{'loss': 0.3971, 'grad_norm': 0.6569233536720276, 'learning_rate': 6.973113616652212e-06, 'epoch': 0.21}
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{'loss': 0.3488, 'grad_norm': 0.8454895615577698, 'learning_rate': 6.981786643538595e-06, 'epoch': 0.21}
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{'loss': 0.3819, 'grad_norm': 0.7034002542495728, 'learning_rate': 6.990459670424979e-06, 'epoch': 0.21}
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{'loss': 0.3701, 'grad_norm': 0.7242304086685181, 'learning_rate': 6.9991326973113625e-06, 'epoch': 0.21}
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{'loss': 0.3747, 'grad_norm': 0.6931145787239075, 'learning_rate': 7.007805724197746e-06, 'epoch': 0.21}
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{'loss': 0.3142, 'grad_norm': 0.7182419896125793, 'learning_rate': 7.016478751084129e-06, 'epoch': 0.21}
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{'loss': 0.3446, 'grad_norm': 0.6234284043312073, 'learning_rate': 7.0251517779705125e-06, 'epoch': 0.21}
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{'loss': 0.445, 'grad_norm': 0.7259695529937744, 'learning_rate': 7.033824804856896e-06, 'epoch': 0.21}
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{'loss': 0.3727, 'grad_norm': 0.7261296510696411, 'learning_rate': 7.042497831743279e-06, 'epoch': 0.21}
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{'loss': 0.3507, 'grad_norm': 0.6855398416519165, 'learning_rate': 7.051170858629663e-06, 'epoch': 0.21}
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{'loss': 0.3051, 'grad_norm': 0.6249645948410034, 'learning_rate': 7.059843885516046e-06, 'epoch': 0.21}
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{'loss': 0.3973, 'grad_norm': 0.6950514912605286, 'learning_rate': 7.068516912402429e-06, 'epoch': 0.21}
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{'loss': 0.4115, 'grad_norm': 0.8236079812049866, 'learning_rate': 7.077189939288812e-06, 'epoch': 0.21}
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{'loss': 0.3472, 'grad_norm': 0.7023073434829712, 'learning_rate': 7.085862966175195e-06, 'epoch': 0.21}
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{'loss': 0.3949, 'grad_norm': 0.7737618684768677, 'learning_rate': 7.0945359930615785e-06, 'epoch': 0.21}
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{'loss': 0.2686, 'grad_norm': 0.5899262428283691, 'learning_rate': 7.111882046834345e-06, 'epoch': 0.21}
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{'loss': 0.2859, 'grad_norm': 0.6283571720123291, 'learning_rate': 7.120555073720729e-06, 'epoch': 0.21}
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{'loss': 0.4211, 'grad_norm': 0.7911254167556763, 'learning_rate': 7.155247181266263e-06, 'epoch': 0.21}
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{'loss': 0.4468, 'grad_norm': 0.7667456865310669, 'learning_rate': 7.1725932350390294e-06, 'epoch': 0.22}
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{'loss': 0.3421, 'grad_norm': 0.7052581310272217, 'learning_rate': 7.181266261925413e-06, 'epoch': 0.22}
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{'loss': 0.3861, 'grad_norm': 0.7380026578903198, 'learning_rate': 7.1986123156981795e-06, 'epoch': 0.22}
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{'loss': 0.429, 'grad_norm': 0.7766146063804626, 'learning_rate': 7.207285342584562e-06, 'epoch': 0.22}
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{'loss': 0.3489, 'grad_norm': 0.6823840141296387, 'learning_rate': 7.224631396357329e-06, 'epoch': 0.22}
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{'loss': 0.4348, 'grad_norm': 0.7201584577560425, 'learning_rate': 7.233304423243712e-06, 'epoch': 0.22}
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{'loss': 0.3385, 'grad_norm': 0.6437369585037231, 'learning_rate': 7.25065047701648e-06, 'epoch': 0.22}
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{'loss': 0.4326, 'grad_norm': 0.7968866229057312, 'learning_rate': 7.259323503902863e-06, 'epoch': 0.22}
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{'loss': 0.3052, 'grad_norm': 0.6953592896461487, 'learning_rate': 7.267996530789246e-06, 'epoch': 0.22}
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{'loss': 0.3894, 'grad_norm': 0.7695007920265198, 'learning_rate': 7.27666955767563e-06, 'epoch': 0.22}
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{'loss': 0.3481, 'grad_norm': 0.6626860499382019, 'learning_rate': 7.285342584562013e-06, 'epoch': 0.22}
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{'loss': 0.4049, 'grad_norm': 0.7149922251701355, 'learning_rate': 7.294015611448396e-06, 'epoch': 0.22}
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{'loss': 0.4031, 'grad_norm': 0.7253623604774475, 'learning_rate': 7.30268863833478e-06, 'epoch': 0.22}
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{'loss': 0.3392, 'grad_norm': 0.7315935492515564, 'learning_rate': 7.311361665221163e-06, 'epoch': 0.22}
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{'loss': 0.3118, 'grad_norm': 0.7120328545570374, 'learning_rate': 7.320034692107546e-06, 'epoch': 0.22}
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{'loss': 0.3528, 'grad_norm': 0.7169113159179688, 'learning_rate': 7.32870771899393e-06, 'epoch': 0.22}
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{'loss': 0.3982, 'grad_norm': 0.7533276081085205, 'learning_rate': 7.337380745880312e-06, 'epoch': 0.22}
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{'loss': 0.3505, 'grad_norm': 0.7684126496315002, 'learning_rate': 7.3460537727666956e-06, 'epoch': 0.22}
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{'loss': 0.3456, 'grad_norm': 0.7908963561058044, 'learning_rate': 7.354726799653079e-06, 'epoch': 0.22}
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{'loss': 0.4488, 'grad_norm': 0.7953776121139526, 'learning_rate': 7.363399826539462e-06, 'epoch': 0.22}
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{'loss': 0.3837, 'grad_norm': 0.7209896445274353, 'learning_rate': 7.3720728534258464e-06, 'epoch': 0.22}
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{'loss': 0.3068, 'grad_norm': 0.6641440987586975, 'learning_rate': 7.38074588031223e-06, 'epoch': 0.22}
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{'loss': 0.3312, 'grad_norm': 0.7056489586830139, 'learning_rate': 7.389418907198613e-06, 'epoch': 0.22}
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{'loss': 0.3825, 'grad_norm': 0.7022843956947327, 'learning_rate': 7.3980919340849965e-06, 'epoch': 0.22}
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{'loss': 0.3067, 'grad_norm': 0.6230480074882507, 'learning_rate': 7.40676496097138e-06, 'epoch': 0.22}
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7%|▋ | 855/11526 [08:56<1:49:44, 1.62it/s]
{'loss': 0.3913, 'grad_norm': 0.6699287295341492, 'learning_rate': 7.415437987857763e-06, 'epoch': 0.22}
|
||
7%|▋ | 855/11526 [08:56<1:49:44, 1.62it/s]
7%|▋ | 856/11526 [08:57<1:49:37, 1.62it/s]
{'loss': 0.3097, 'grad_norm': 0.5991837382316589, 'learning_rate': 7.4241110147441465e-06, 'epoch': 0.22}
|
||
7%|▋ | 856/11526 [08:57<1:49:37, 1.62it/s]
7%|▋ | 857/11526 [08:57<1:49:46, 1.62it/s]
{'loss': 0.4164, 'grad_norm': 0.6963226795196533, 'learning_rate': 7.43278404163053e-06, 'epoch': 0.22}
|
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7%|▋ | 857/11526 [08:57<1:49:46, 1.62it/s]
7%|▋ | 858/11526 [08:58<1:49:37, 1.62it/s]
{'loss': 0.3798, 'grad_norm': 0.75253826379776, 'learning_rate': 7.441457068516913e-06, 'epoch': 0.22}
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||
7%|▋ | 858/11526 [08:58<1:49:37, 1.62it/s]
7%|▋ | 859/11526 [08:59<1:49:34, 1.62it/s]
{'loss': 0.387, 'grad_norm': 0.6586372256278992, 'learning_rate': 7.4501300954032966e-06, 'epoch': 0.22}
|
||
7%|▋ | 859/11526 [08:59<1:49:34, 1.62it/s]
7%|▋ | 860/11526 [08:59<1:49:36, 1.62it/s]
{'loss': 0.5176, 'grad_norm': 0.679161012172699, 'learning_rate': 7.45880312228968e-06, 'epoch': 0.22}
|
||
7%|▋ | 860/11526 [08:59<1:49:36, 1.62it/s]
7%|▋ | 861/11526 [09:00<1:49:27, 1.62it/s]
{'loss': 0.3168, 'grad_norm': 0.6601464748382568, 'learning_rate': 7.4674761491760624e-06, 'epoch': 0.22}
|
||
7%|▋ | 861/11526 [09:00<1:49:27, 1.62it/s]
7%|▋ | 862/11526 [09:00<1:49:31, 1.62it/s]
{'loss': 0.3844, 'grad_norm': 0.699120819568634, 'learning_rate': 7.476149176062446e-06, 'epoch': 0.22}
|
||
7%|▋ | 862/11526 [09:00<1:49:31, 1.62it/s]
7%|▋ | 863/11526 [09:01<1:49:24, 1.62it/s]
{'loss': 0.371, 'grad_norm': 0.7014876008033752, 'learning_rate': 7.484822202948829e-06, 'epoch': 0.22}
|
||
7%|▋ | 863/11526 [09:01<1:49:24, 1.62it/s]
7%|▋ | 864/11526 [09:02<1:49:20, 1.63it/s]
{'loss': 0.404, 'grad_norm': 0.6643251180648804, 'learning_rate': 7.4934952298352125e-06, 'epoch': 0.22}
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||
7%|▋ | 864/11526 [09:02<1:49:20, 1.63it/s]
8%|▊ | 865/11526 [09:02<1:49:22, 1.62it/s]
{'loss': 0.2794, 'grad_norm': 0.6294180750846863, 'learning_rate': 7.502168256721597e-06, 'epoch': 0.23}
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||
8%|▊ | 865/11526 [09:02<1:49:22, 1.62it/s]
8%|▊ | 866/11526 [09:03<1:49:19, 1.63it/s]
{'loss': 0.4217, 'grad_norm': 0.7939609885215759, 'learning_rate': 7.51084128360798e-06, 'epoch': 0.23}
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||
8%|▊ | 866/11526 [09:03<1:49:19, 1.63it/s]
8%|▊ | 867/11526 [09:03<1:49:30, 1.62it/s]
{'loss': 0.2991, 'grad_norm': 0.559368371963501, 'learning_rate': 7.519514310494363e-06, 'epoch': 0.23}
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||
8%|▊ | 867/11526 [09:04<1:49:30, 1.62it/s]
8%|▊ | 868/11526 [09:04<1:49:23, 1.62it/s]
{'loss': 0.4046, 'grad_norm': 0.6893911957740784, 'learning_rate': 7.528187337380747e-06, 'epoch': 0.23}
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||
8%|▊ | 868/11526 [09:04<1:49:23, 1.62it/s]
8%|▊ | 869/11526 [09:05<1:49:21, 1.62it/s]
{'loss': 0.3433, 'grad_norm': 0.5961382389068604, 'learning_rate': 7.53686036426713e-06, 'epoch': 0.23}
|
||
8%|▊ | 869/11526 [09:05<1:49:21, 1.62it/s]
8%|▊ | 870/11526 [09:05<1:49:25, 1.62it/s]
{'loss': 0.3277, 'grad_norm': 0.6445572376251221, 'learning_rate': 7.545533391153513e-06, 'epoch': 0.23}
|
||
8%|▊ | 870/11526 [09:05<1:49:25, 1.62it/s]
8%|▊ | 871/11526 [09:06<1:49:25, 1.62it/s]
{'loss': 0.2862, 'grad_norm': 0.6973950266838074, 'learning_rate': 7.554206418039897e-06, 'epoch': 0.23}
|
||
8%|▊ | 871/11526 [09:06<1:49:25, 1.62it/s]
8%|▊ | 872/11526 [09:07<1:49:21, 1.62it/s]
{'loss': 0.3783, 'grad_norm': 0.7038639187812805, 'learning_rate': 7.56287944492628e-06, 'epoch': 0.23}
|
||
8%|▊ | 872/11526 [09:07<1:49:21, 1.62it/s]
8%|▊ | 873/11526 [09:07<1:49:14, 1.63it/s]
{'loss': 0.3024, 'grad_norm': 0.6962592005729675, 'learning_rate': 7.5715524718126634e-06, 'epoch': 0.23}
|
||
8%|▊ | 873/11526 [09:07<1:49:14, 1.63it/s]
8%|▊ | 874/11526 [09:08<1:49:12, 1.63it/s]
{'loss': 0.3158, 'grad_norm': 0.6007298231124878, 'learning_rate': 7.580225498699047e-06, 'epoch': 0.23}
|
||
8%|▊ | 874/11526 [09:08<1:49:12, 1.63it/s]
8%|▊ | 875/11526 [09:08<1:49:19, 1.62it/s]
{'loss': 0.3535, 'grad_norm': 0.6964049935340881, 'learning_rate': 7.58889852558543e-06, 'epoch': 0.23}
|
||
8%|▊ | 875/11526 [09:08<1:49:19, 1.62it/s]
8%|▊ | 876/11526 [09:09<1:49:12, 1.63it/s]
{'loss': 0.3214, 'grad_norm': 0.6978402137756348, 'learning_rate': 7.597571552471813e-06, 'epoch': 0.23}
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||
8%|▊ | 876/11526 [09:09<1:49:12, 1.63it/s]
8%|▊ | 877/11526 [09:10<1:49:12, 1.63it/s]
{'loss': 0.3, 'grad_norm': 0.8196964859962463, 'learning_rate': 7.606244579358196e-06, 'epoch': 0.23}
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||
8%|▊ | 877/11526 [09:10<1:49:12, 1.63it/s]
8%|▊ | 878/11526 [09:10<1:49:10, 1.63it/s]
{'loss': 0.3272, 'grad_norm': 0.7798760533332825, 'learning_rate': 7.614917606244579e-06, 'epoch': 0.23}
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||
8%|▊ | 878/11526 [09:10<1:49:10, 1.63it/s]
8%|▊ | 879/11526 [09:11<1:49:07, 1.63it/s]
{'loss': 0.246, 'grad_norm': 0.6238197088241577, 'learning_rate': 7.623590633130963e-06, 'epoch': 0.23}
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||
8%|▊ | 879/11526 [09:11<1:49:07, 1.63it/s]
8%|▊ | 880/11526 [09:11<1:49:10, 1.63it/s]
{'loss': 0.4346, 'grad_norm': 0.7972267866134644, 'learning_rate': 7.632263660017348e-06, 'epoch': 0.23}
|
||
8%|▊ | 880/11526 [09:12<1:49:10, 1.63it/s]
8%|▊ | 881/11526 [09:12<1:49:05, 1.63it/s]
{'loss': 0.4117, 'grad_norm': 0.8893899321556091, 'learning_rate': 7.64093668690373e-06, 'epoch': 0.23}
|
||
8%|▊ | 881/11526 [09:12<1:49:05, 1.63it/s]
8%|▊ | 882/11526 [09:13<1:49:11, 1.62it/s]
{'loss': 0.3795, 'grad_norm': 0.7515725493431091, 'learning_rate': 7.649609713790114e-06, 'epoch': 0.23}
|
||
8%|▊ | 882/11526 [09:13<1:49:11, 1.62it/s]
8%|▊ | 883/11526 [09:13<1:49:09, 1.63it/s]
{'loss': 0.319, 'grad_norm': 0.626658022403717, 'learning_rate': 7.658282740676497e-06, 'epoch': 0.23}
|
||
8%|▊ | 883/11526 [09:13<1:49:09, 1.63it/s]
8%|▊ | 884/11526 [09:14<1:49:05, 1.63it/s]
{'loss': 0.4002, 'grad_norm': 0.6883169412612915, 'learning_rate': 7.666955767562881e-06, 'epoch': 0.23}
|
||
8%|▊ | 884/11526 [09:14<1:49:05, 1.63it/s]
8%|▊ | 885/11526 [09:15<1:49:08, 1.62it/s]
{'loss': 0.351, 'grad_norm': 0.7620996832847595, 'learning_rate': 7.675628794449264e-06, 'epoch': 0.23}
|
||
8%|▊ | 885/11526 [09:15<1:49:08, 1.62it/s]
8%|▊ | 886/11526 [09:15<1:49:12, 1.62it/s]
{'loss': 0.3594, 'grad_norm': 0.7095179557800293, 'learning_rate': 7.684301821335646e-06, 'epoch': 0.23}
|
||
8%|▊ | 886/11526 [09:15<1:49:12, 1.62it/s]
8%|▊ | 887/11526 [09:16<1:49:19, 1.62it/s]
{'loss': 0.3664, 'grad_norm': 0.7995191812515259, 'learning_rate': 7.69297484822203e-06, 'epoch': 0.23}
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||
8%|▊ | 887/11526 [09:16<1:49:19, 1.62it/s]
8%|▊ | 888/11526 [09:16<1:49:14, 1.62it/s]
{'loss': 0.3828, 'grad_norm': 0.829699695110321, 'learning_rate': 7.701647875108413e-06, 'epoch': 0.23}
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||
8%|▊ | 888/11526 [09:16<1:49:14, 1.62it/s]
8%|▊ | 889/11526 [09:17<1:49:08, 1.62it/s]
{'loss': 0.3718, 'grad_norm': 0.7947219610214233, 'learning_rate': 7.710320901994797e-06, 'epoch': 0.23}
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||
8%|▊ | 889/11526 [09:17<1:49:08, 1.62it/s]
8%|▊ | 890/11526 [09:18<1:49:09, 1.62it/s]
{'loss': 0.3842, 'grad_norm': 0.691902220249176, 'learning_rate': 7.71899392888118e-06, 'epoch': 0.23}
|
||
8%|▊ | 890/11526 [09:18<1:49:09, 1.62it/s]
8%|▊ | 891/11526 [09:18<1:49:04, 1.63it/s]
{'loss': 0.3341, 'grad_norm': 0.7406737208366394, 'learning_rate': 7.727666955767564e-06, 'epoch': 0.23}
|
||
8%|▊ | 891/11526 [09:18<1:49:04, 1.63it/s]
8%|▊ | 892/11526 [09:19<1:49:14, 1.62it/s]
{'loss': 0.3754, 'grad_norm': 0.7159379720687866, 'learning_rate': 7.736339982653946e-06, 'epoch': 0.23}
|
||
8%|▊ | 892/11526 [09:19<1:49:14, 1.62it/s]
8%|▊ | 893/11526 [09:19<1:49:07, 1.62it/s]
{'loss': 0.3618, 'grad_norm': 0.6011752486228943, 'learning_rate': 7.74501300954033e-06, 'epoch': 0.23}
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||
8%|▊ | 893/11526 [09:20<1:49:07, 1.62it/s]
8%|▊ | 894/11526 [09:20<1:49:04, 1.62it/s]
{'loss': 0.2768, 'grad_norm': 0.6976768970489502, 'learning_rate': 7.753686036426713e-06, 'epoch': 0.23}
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||
8%|▊ | 894/11526 [09:20<1:49:04, 1.62it/s]
8%|▊ | 895/11526 [09:21<1:49:11, 1.62it/s]
{'loss': 0.346, 'grad_norm': 0.6388375759124756, 'learning_rate': 7.762359063313097e-06, 'epoch': 0.23}
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||
8%|▊ | 895/11526 [09:21<1:49:11, 1.62it/s]
8%|▊ | 896/11526 [09:21<1:49:04, 1.62it/s]
{'loss': 0.2925, 'grad_norm': 0.6563900113105774, 'learning_rate': 7.771032090199481e-06, 'epoch': 0.23}
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||
8%|▊ | 896/11526 [09:21<1:49:04, 1.62it/s]
8%|▊ | 897/11526 [09:22<1:49:10, 1.62it/s]
{'loss': 0.3172, 'grad_norm': 0.6994851231575012, 'learning_rate': 7.779705117085864e-06, 'epoch': 0.23}
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||
8%|▊ | 897/11526 [09:22<1:49:10, 1.62it/s]
8%|▊ | 898/11526 [09:23<1:49:06, 1.62it/s]
{'loss': 0.3756, 'grad_norm': 0.6949496865272522, 'learning_rate': 7.788378143972248e-06, 'epoch': 0.23}
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||
8%|▊ | 898/11526 [09:23<1:49:06, 1.62it/s]
8%|▊ | 899/11526 [09:23<1:49:02, 1.62it/s]
{'loss': 0.3672, 'grad_norm': 0.7478926181793213, 'learning_rate': 7.79705117085863e-06, 'epoch': 0.23}
|
||
8%|▊ | 899/11526 [09:23<1:49:02, 1.62it/s]
8%|▊ | 900/11526 [09:24<1:49:09, 1.62it/s]
{'loss': 0.3371, 'grad_norm': 0.700088620185852, 'learning_rate': 7.805724197745013e-06, 'epoch': 0.23}
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||
8%|▊ | 900/11526 [09:24<1:49:09, 1.62it/s]
8%|▊ | 901/11526 [09:24<1:49:02, 1.62it/s]
{'loss': 0.3478, 'grad_norm': 0.6523679494857788, 'learning_rate': 7.814397224631397e-06, 'epoch': 0.23}
|
||
8%|▊ | 901/11526 [09:24<1:49:02, 1.62it/s]
8%|▊ | 902/11526 [09:25<1:49:05, 1.62it/s]
{'loss': 0.3785, 'grad_norm': 0.6770567893981934, 'learning_rate': 7.82307025151778e-06, 'epoch': 0.23}
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||
8%|▊ | 902/11526 [09:25<1:49:05, 1.62it/s]
8%|▊ | 903/11526 [09:26<1:48:58, 1.62it/s]
{'loss': 0.3422, 'grad_norm': 0.6459780335426331, 'learning_rate': 7.831743278404164e-06, 'epoch': 0.24}
|
||
8%|▊ | 903/11526 [09:26<1:48:58, 1.62it/s]
8%|▊ | 904/11526 [09:26<1:48:56, 1.62it/s]
{'loss': 0.3545, 'grad_norm': 0.7004954814910889, 'learning_rate': 7.840416305290546e-06, 'epoch': 0.24}
|
||
8%|▊ | 904/11526 [09:26<1:48:56, 1.62it/s]
8%|▊ | 905/11526 [09:27<1:48:59, 1.62it/s]
{'loss': 0.3653, 'grad_norm': 0.7036858797073364, 'learning_rate': 7.84908933217693e-06, 'epoch': 0.24}
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||
8%|▊ | 905/11526 [09:27<1:48:59, 1.62it/s]
8%|▊ | 906/11526 [09:27<1:48:56, 1.62it/s]
{'loss': 0.355, 'grad_norm': 0.7081471085548401, 'learning_rate': 7.857762359063313e-06, 'epoch': 0.24}
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||
8%|▊ | 906/11526 [09:28<1:48:56, 1.62it/s]
8%|▊ | 907/11526 [09:28<1:49:25, 1.62it/s]
{'loss': 0.3487, 'grad_norm': 0.687362790107727, 'learning_rate': 7.866435385949697e-06, 'epoch': 0.24}
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||
8%|▊ | 907/11526 [09:28<1:49:25, 1.62it/s]
8%|▊ | 908/11526 [09:29<1:49:13, 1.62it/s]
{'loss': 0.2869, 'grad_norm': 0.6471632719039917, 'learning_rate': 7.87510841283608e-06, 'epoch': 0.24}
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||
8%|▊ | 908/11526 [09:29<1:49:13, 1.62it/s]
8%|▊ | 909/11526 [09:29<1:49:11, 1.62it/s]
{'loss': 0.3033, 'grad_norm': 0.6794768571853638, 'learning_rate': 7.883781439722464e-06, 'epoch': 0.24}
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||
8%|▊ | 909/11526 [09:29<1:49:11, 1.62it/s]
8%|▊ | 910/11526 [09:30<1:49:09, 1.62it/s]
{'loss': 0.3879, 'grad_norm': 0.7114742994308472, 'learning_rate': 7.892454466608848e-06, 'epoch': 0.24}
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||
8%|▊ | 910/11526 [09:30<1:49:09, 1.62it/s]
8%|▊ | 911/11526 [09:31<1:49:02, 1.62it/s]
{'loss': 0.3185, 'grad_norm': 0.704896092414856, 'learning_rate': 7.90112749349523e-06, 'epoch': 0.24}
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||
8%|▊ | 911/11526 [09:31<1:49:02, 1.62it/s]
8%|▊ | 912/11526 [09:31<1:49:10, 1.62it/s]
{'loss': 0.3968, 'grad_norm': 0.7257667779922485, 'learning_rate': 7.909800520381615e-06, 'epoch': 0.24}
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||
8%|▊ | 912/11526 [09:31<1:49:10, 1.62it/s]
8%|▊ | 913/11526 [09:32<1:49:08, 1.62it/s]
{'loss': 0.3354, 'grad_norm': 0.6662918925285339, 'learning_rate': 7.918473547267997e-06, 'epoch': 0.24}
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8%|▊ | 913/11526 [09:32<1:49:08, 1.62it/s]
8%|▊ | 914/11526 [09:32<1:48:59, 1.62it/s]
{'loss': 0.4021, 'grad_norm': 0.8201828002929688, 'learning_rate': 7.927146574154382e-06, 'epoch': 0.24}
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||
8%|▊ | 914/11526 [09:33<1:48:59, 1.62it/s]
8%|▊ | 915/11526 [09:33<1:49:01, 1.62it/s]
{'loss': 0.3571, 'grad_norm': 0.8401138782501221, 'learning_rate': 7.935819601040764e-06, 'epoch': 0.24}
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8%|▊ | 915/11526 [09:33<1:49:01, 1.62it/s]
8%|▊ | 916/11526 [09:34<1:48:54, 1.62it/s]
{'loss': 0.3667, 'grad_norm': 0.7836294770240784, 'learning_rate': 7.944492627927147e-06, 'epoch': 0.24}
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8%|▊ | 916/11526 [09:34<1:48:54, 1.62it/s]
8%|▊ | 917/11526 [09:34<1:48:59, 1.62it/s]
{'loss': 0.3387, 'grad_norm': 0.6879644393920898, 'learning_rate': 7.95316565481353e-06, 'epoch': 0.24}
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8%|▊ | 917/11526 [09:34<1:48:59, 1.62it/s]
8%|▊ | 918/11526 [09:35<1:48:56, 1.62it/s]
{'loss': 0.2933, 'grad_norm': 0.5950043797492981, 'learning_rate': 7.961838681699913e-06, 'epoch': 0.24}
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8%|▊ | 918/11526 [09:35<1:48:56, 1.62it/s]
8%|▊ | 919/11526 [09:35<1:48:49, 1.62it/s]
{'loss': 0.363, 'grad_norm': 0.7090800404548645, 'learning_rate': 7.970511708586297e-06, 'epoch': 0.24}
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8%|▊ | 919/11526 [09:36<1:48:49, 1.62it/s]
8%|▊ | 920/11526 [09:36<1:48:55, 1.62it/s]
{'loss': 0.4388, 'grad_norm': 0.7754530310630798, 'learning_rate': 7.97918473547268e-06, 'epoch': 0.24}
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||
8%|▊ | 920/11526 [09:36<1:48:55, 1.62it/s]
8%|▊ | 921/11526 [09:37<1:48:51, 1.62it/s]
{'loss': 0.3733, 'grad_norm': 0.7619813680648804, 'learning_rate': 7.987857762359064e-06, 'epoch': 0.24}
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||
8%|▊ | 921/11526 [09:37<1:48:51, 1.62it/s]
8%|▊ | 922/11526 [09:37<1:48:49, 1.62it/s]
{'loss': 0.2913, 'grad_norm': 0.5745354890823364, 'learning_rate': 7.996530789245447e-06, 'epoch': 0.24}
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||
8%|▊ | 922/11526 [09:37<1:48:49, 1.62it/s]
8%|▊ | 923/11526 [09:38<1:48:44, 1.63it/s]
{'loss': 0.3257, 'grad_norm': 0.6523197293281555, 'learning_rate': 8.00520381613183e-06, 'epoch': 0.24}
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8%|▊ | 923/11526 [09:38<1:48:44, 1.63it/s]
8%|▊ | 924/11526 [09:39<1:48:42, 1.63it/s]
{'loss': 0.2974, 'grad_norm': 0.6339744925498962, 'learning_rate': 8.013876843018215e-06, 'epoch': 0.24}
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8%|▊ | 924/11526 [09:39<1:48:42, 1.63it/s]
8%|▊ | 925/11526 [09:39<1:48:46, 1.62it/s]
{'loss': 0.3502, 'grad_norm': 0.6394465565681458, 'learning_rate': 8.022549869904598e-06, 'epoch': 0.24}
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8%|▊ | 925/11526 [09:39<1:48:46, 1.62it/s]
8%|▊ | 926/11526 [09:40<1:48:42, 1.63it/s]
{'loss': 0.4079, 'grad_norm': 0.6584296226501465, 'learning_rate': 8.031222896790982e-06, 'epoch': 0.24}
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8%|▊ | 926/11526 [09:40<1:48:42, 1.63it/s]
8%|▊ | 927/11526 [09:40<1:48:47, 1.62it/s]
{'loss': 0.4491, 'grad_norm': 0.7887781858444214, 'learning_rate': 8.039895923677364e-06, 'epoch': 0.24}
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8%|▊ | 927/11526 [09:41<1:48:47, 1.62it/s]
8%|▊ | 928/11526 [09:41<1:48:41, 1.63it/s]
{'loss': 0.387, 'grad_norm': 0.7195541262626648, 'learning_rate': 8.048568950563748e-06, 'epoch': 0.24}
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8%|▊ | 928/11526 [09:41<1:48:41, 1.63it/s]
8%|▊ | 929/11526 [09:42<1:48:38, 1.63it/s]
{'loss': 0.4455, 'grad_norm': 0.6968345046043396, 'learning_rate': 8.057241977450131e-06, 'epoch': 0.24}
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8%|▊ | 929/11526 [09:42<1:48:38, 1.63it/s]
8%|▊ | 930/11526 [09:42<1:48:42, 1.62it/s]
{'loss': 0.332, 'grad_norm': 0.599797785282135, 'learning_rate': 8.065915004336513e-06, 'epoch': 0.24}
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8%|▊ | 930/11526 [09:42<1:48:42, 1.62it/s]
8%|▊ | 931/11526 [09:43<1:48:38, 1.63it/s]
{'loss': 0.3727, 'grad_norm': 0.6872587203979492, 'learning_rate': 8.074588031222898e-06, 'epoch': 0.24}
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||
8%|▊ | 931/11526 [09:43<1:48:38, 1.63it/s]
8%|▊ | 932/11526 [09:43<1:48:38, 1.63it/s]
{'loss': 0.3468, 'grad_norm': 0.6894674301147461, 'learning_rate': 8.08326105810928e-06, 'epoch': 0.24}
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||
8%|▊ | 932/11526 [09:44<1:48:38, 1.63it/s]
8%|▊ | 933/11526 [09:44<1:48:39, 1.62it/s]
{'loss': 0.2933, 'grad_norm': 0.6398645043373108, 'learning_rate': 8.091934084995664e-06, 'epoch': 0.24}
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||
8%|▊ | 933/11526 [09:44<1:48:39, 1.62it/s]
8%|▊ | 934/11526 [09:45<1:48:34, 1.63it/s]
{'loss': 0.2922, 'grad_norm': 0.5899367332458496, 'learning_rate': 8.100607111882047e-06, 'epoch': 0.24}
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8%|▊ | 934/11526 [09:45<1:48:34, 1.63it/s]
8%|▊ | 935/11526 [09:45<1:48:46, 1.62it/s]
{'loss': 0.2892, 'grad_norm': 0.5606797933578491, 'learning_rate': 8.109280138768431e-06, 'epoch': 0.24}
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||
8%|▊ | 935/11526 [09:45<1:48:46, 1.62it/s]
8%|▊ | 936/11526 [09:46<1:48:44, 1.62it/s]
{'loss': 0.399, 'grad_norm': 0.6526550650596619, 'learning_rate': 8.117953165654814e-06, 'epoch': 0.24}
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||
8%|▊ | 936/11526 [09:46<1:48:44, 1.62it/s]
8%|▊ | 937/11526 [09:47<1:48:48, 1.62it/s]
{'loss': 0.3226, 'grad_norm': 0.6591784358024597, 'learning_rate': 8.126626192541198e-06, 'epoch': 0.24}
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||
8%|▊ | 937/11526 [09:47<1:48:48, 1.62it/s]
8%|▊ | 938/11526 [09:47<1:48:43, 1.62it/s]
{'loss': 0.2514, 'grad_norm': 0.5823246836662292, 'learning_rate': 8.13529921942758e-06, 'epoch': 0.24}
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||
8%|▊ | 938/11526 [09:47<1:48:43, 1.62it/s]
8%|▊ | 939/11526 [09:48<1:48:38, 1.62it/s]
{'loss': 0.3132, 'grad_norm': 0.6623145937919617, 'learning_rate': 8.143972246313964e-06, 'epoch': 0.24}
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||
8%|▊ | 939/11526 [09:48<1:48:38, 1.62it/s]
8%|▊ | 940/11526 [09:48<1:48:39, 1.62it/s]
{'loss': 0.3205, 'grad_norm': 0.6624166369438171, 'learning_rate': 8.152645273200349e-06, 'epoch': 0.24}
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||
8%|▊ | 940/11526 [09:49<1:48:39, 1.62it/s]
8%|▊ | 941/11526 [09:49<1:48:34, 1.62it/s]
{'loss': 0.4858, 'grad_norm': 0.8773713111877441, 'learning_rate': 8.161318300086731e-06, 'epoch': 0.24}
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||
8%|▊ | 941/11526 [09:49<1:48:34, 1.62it/s]
8%|▊ | 942/11526 [09:50<1:48:37, 1.62it/s]
{'loss': 0.3583, 'grad_norm': 0.6435461640357971, 'learning_rate': 8.169991326973115e-06, 'epoch': 0.25}
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||
8%|▊ | 942/11526 [09:50<1:48:37, 1.62it/s]
8%|▊ | 943/11526 [09:50<1:48:31, 1.63it/s]
{'loss': 0.4245, 'grad_norm': 0.6789295673370361, 'learning_rate': 8.178664353859498e-06, 'epoch': 0.25}
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||
8%|▊ | 943/11526 [09:50<1:48:31, 1.63it/s]
8%|▊ | 944/11526 [09:51<1:48:28, 1.63it/s]
{'loss': 0.3114, 'grad_norm': 0.6174657940864563, 'learning_rate': 8.187337380745882e-06, 'epoch': 0.25}
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||
8%|▊ | 944/11526 [09:51<1:48:28, 1.63it/s]
8%|▊ | 945/11526 [09:51<1:48:35, 1.62it/s]
{'loss': 0.3481, 'grad_norm': 0.8540397882461548, 'learning_rate': 8.196010407632264e-06, 'epoch': 0.25}
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||
8%|▊ | 945/11526 [09:52<1:48:35, 1.62it/s]
8%|▊ | 946/11526 [09:52<1:48:38, 1.62it/s]
{'loss': 0.3894, 'grad_norm': 0.7671207785606384, 'learning_rate': 8.204683434518647e-06, 'epoch': 0.25}
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||
8%|▊ | 946/11526 [09:52<1:48:38, 1.62it/s]
8%|▊ | 947/11526 [09:53<1:48:46, 1.62it/s]
{'loss': 0.2441, 'grad_norm': 0.5698780417442322, 'learning_rate': 8.213356461405031e-06, 'epoch': 0.25}
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||
8%|▊ | 947/11526 [09:53<1:48:46, 1.62it/s]
8%|▊ | 948/11526 [09:53<1:48:41, 1.62it/s]
{'loss': 0.3531, 'grad_norm': 0.7611456513404846, 'learning_rate': 8.222029488291414e-06, 'epoch': 0.25}
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||
8%|▊ | 948/11526 [09:53<1:48:41, 1.62it/s]
8%|▊ | 949/11526 [09:54<1:48:34, 1.62it/s]
{'loss': 0.2983, 'grad_norm': 0.6448303461074829, 'learning_rate': 8.230702515177798e-06, 'epoch': 0.25}
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||
8%|▊ | 949/11526 [09:54<1:48:34, 1.62it/s]
8%|▊ | 950/11526 [09:55<1:48:37, 1.62it/s]
{'loss': 0.4097, 'grad_norm': 0.7887703776359558, 'learning_rate': 8.23937554206418e-06, 'epoch': 0.25}
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||
8%|▊ | 950/11526 [09:55<1:48:37, 1.62it/s]
8%|▊ | 951/11526 [09:55<1:48:33, 1.62it/s]
{'loss': 0.3385, 'grad_norm': 0.6960475444793701, 'learning_rate': 8.248048568950565e-06, 'epoch': 0.25}
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||
8%|▊ | 951/11526 [09:55<1:48:33, 1.62it/s]
8%|▊ | 952/11526 [09:56<1:48:35, 1.62it/s]
{'loss': 0.466, 'grad_norm': 0.7579076290130615, 'learning_rate': 8.256721595836947e-06, 'epoch': 0.25}
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||
8%|▊ | 952/11526 [09:56<1:48:35, 1.62it/s]
8%|▊ | 953/11526 [09:56<1:48:37, 1.62it/s]
{'loss': 0.381, 'grad_norm': 0.7063487768173218, 'learning_rate': 8.265394622723331e-06, 'epoch': 0.25}
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||
8%|▊ | 953/11526 [09:57<1:48:37, 1.62it/s]
8%|▊ | 954/11526 [09:57<1:48:34, 1.62it/s]
{'loss': 0.34, 'grad_norm': 0.7320043444633484, 'learning_rate': 8.274067649609715e-06, 'epoch': 0.25}
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||
8%|▊ | 954/11526 [09:57<1:48:34, 1.62it/s]
8%|▊ | 955/11526 [09:58<1:48:57, 1.62it/s]
{'loss': 0.3974, 'grad_norm': 0.9076068997383118, 'learning_rate': 8.282740676496098e-06, 'epoch': 0.25}
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||
8%|▊ | 955/11526 [09:58<1:48:57, 1.62it/s]
8%|▊ | 956/11526 [09:58<1:48:47, 1.62it/s]
{'loss': 0.3959, 'grad_norm': 0.7275028824806213, 'learning_rate': 8.291413703382482e-06, 'epoch': 0.25}
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||
8%|▊ | 956/11526 [09:58<1:48:47, 1.62it/s]
8%|▊ | 957/11526 [09:59<1:48:41, 1.62it/s]
{'loss': 0.3723, 'grad_norm': 0.6829838752746582, 'learning_rate': 8.300086730268865e-06, 'epoch': 0.25}
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||
8%|▊ | 957/11526 [09:59<1:48:41, 1.62it/s]
8%|▊ | 958/11526 [09:59<1:48:35, 1.62it/s]
{'loss': 0.3267, 'grad_norm': 0.6013583540916443, 'learning_rate': 8.308759757155249e-06, 'epoch': 0.25}
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||
8%|▊ | 958/11526 [10:00<1:48:35, 1.62it/s]
8%|▊ | 959/11526 [10:00<1:48:30, 1.62it/s]
{'loss': 0.3029, 'grad_norm': 0.6962816715240479, 'learning_rate': 8.317432784041631e-06, 'epoch': 0.25}
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||
8%|▊ | 959/11526 [10:00<1:48:30, 1.62it/s]
8%|▊ | 960/11526 [10:01<1:48:34, 1.62it/s]
{'loss': 0.3326, 'grad_norm': 0.6009585857391357, 'learning_rate': 8.326105810928014e-06, 'epoch': 0.25}
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8%|▊ | 960/11526 [10:01<1:48:34, 1.62it/s]
8%|▊ | 961/11526 [10:01<1:48:30, 1.62it/s]
{'loss': 0.3851, 'grad_norm': 0.6680829524993896, 'learning_rate': 8.334778837814398e-06, 'epoch': 0.25}
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8%|▊ | 961/11526 [10:01<1:48:30, 1.62it/s]
8%|▊ | 962/11526 [10:02<1:48:30, 1.62it/s]
{'loss': 0.3184, 'grad_norm': 0.6824049949645996, 'learning_rate': 8.34345186470078e-06, 'epoch': 0.25}
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8%|▊ | 962/11526 [10:02<1:48:30, 1.62it/s]
8%|▊ | 963/11526 [10:03<1:48:21, 1.62it/s]
{'loss': 0.4896, 'grad_norm': 0.8954772353172302, 'learning_rate': 8.352124891587165e-06, 'epoch': 0.25}
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8%|▊ | 963/11526 [10:03<1:48:21, 1.62it/s]
8%|▊ | 964/11526 [10:03<1:48:16, 1.63it/s]
{'loss': 0.3179, 'grad_norm': 0.6279625296592712, 'learning_rate': 8.360797918473547e-06, 'epoch': 0.25}
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8%|▊ | 964/11526 [10:03<1:48:16, 1.63it/s]
8%|▊ | 965/11526 [10:04<1:48:20, 1.62it/s]
{'loss': 0.3518, 'grad_norm': 0.6343486905097961, 'learning_rate': 8.369470945359931e-06, 'epoch': 0.25}
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8%|▊ | 965/11526 [10:04<1:48:20, 1.62it/s]
8%|▊ | 966/11526 [10:04<1:48:14, 1.63it/s]
{'loss': 0.2959, 'grad_norm': 0.6421394944190979, 'learning_rate': 8.378143972246314e-06, 'epoch': 0.25}
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8%|▊ | 966/11526 [10:05<1:48:14, 1.63it/s]
8%|▊ | 967/11526 [10:05<1:48:23, 1.62it/s]
{'loss': 0.3688, 'grad_norm': 0.7580284476280212, 'learning_rate': 8.386816999132698e-06, 'epoch': 0.25}
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8%|▊ | 967/11526 [10:05<1:48:23, 1.62it/s]
8%|▊ | 968/11526 [10:06<1:48:19, 1.62it/s]
{'loss': 0.2962, 'grad_norm': 0.6466118097305298, 'learning_rate': 8.39549002601908e-06, 'epoch': 0.25}
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||
8%|▊ | 968/11526 [10:06<1:48:19, 1.62it/s]
8%|▊ | 969/11526 [10:06<1:48:17, 1.62it/s]
{'loss': 0.3505, 'grad_norm': 0.6639811992645264, 'learning_rate': 8.404163052905465e-06, 'epoch': 0.25}
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8%|▊ | 969/11526 [10:06<1:48:17, 1.62it/s]
8%|▊ | 970/11526 [10:07<1:48:19, 1.62it/s]
{'loss': 0.4792, 'grad_norm': 0.8033050298690796, 'learning_rate': 8.412836079791849e-06, 'epoch': 0.25}
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8%|▊ | 970/11526 [10:07<1:48:19, 1.62it/s]
8%|▊ | 971/11526 [10:07<1:48:14, 1.63it/s]
{'loss': 0.292, 'grad_norm': 0.6043140888214111, 'learning_rate': 8.421509106678232e-06, 'epoch': 0.25}
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||
8%|▊ | 971/11526 [10:08<1:48:14, 1.63it/s]
8%|▊ | 972/11526 [10:08<1:48:18, 1.62it/s]
{'loss': 0.2568, 'grad_norm': 1.1217511892318726, 'learning_rate': 8.430182133564616e-06, 'epoch': 0.25}
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8%|▊ | 972/11526 [10:08<1:48:18, 1.62it/s]
8%|▊ | 973/11526 [10:09<1:48:11, 1.63it/s]
{'loss': 0.3944, 'grad_norm': 0.6210816502571106, 'learning_rate': 8.438855160450998e-06, 'epoch': 0.25}
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||
8%|▊ | 973/11526 [10:09<1:48:11, 1.63it/s]
8%|▊ | 974/11526 [10:09<1:48:13, 1.63it/s]
{'loss': 0.3497, 'grad_norm': 0.7469643354415894, 'learning_rate': 8.44752818733738e-06, 'epoch': 0.25}
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8%|▊ | 974/11526 [10:09<1:48:13, 1.63it/s]
8%|▊ | 975/11526 [10:10<1:48:21, 1.62it/s]
{'loss': 0.4847, 'grad_norm': 0.7448015213012695, 'learning_rate': 8.456201214223765e-06, 'epoch': 0.25}
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||
8%|▊ | 975/11526 [10:10<1:48:21, 1.62it/s]
8%|▊ | 976/11526 [10:11<1:53:58, 1.54it/s]
{'loss': 0.3475, 'grad_norm': 0.6953893899917603, 'learning_rate': 8.464874241110147e-06, 'epoch': 0.25}
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8%|▊ | 976/11526 [10:11<1:53:58, 1.54it/s]
8%|▊ | 977/11526 [10:11<1:52:08, 1.57it/s]
{'loss': 0.5261, 'grad_norm': 0.8689889311790466, 'learning_rate': 8.473547267996532e-06, 'epoch': 0.25}
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||
8%|▊ | 977/11526 [10:11<1:52:08, 1.57it/s]
8%|▊ | 978/11526 [10:12<1:50:58, 1.58it/s]
{'loss': 0.2736, 'grad_norm': 0.6072566509246826, 'learning_rate': 8.482220294882914e-06, 'epoch': 0.25}
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||
8%|▊ | 978/11526 [10:12<1:50:58, 1.58it/s]
8%|▊ | 979/11526 [10:13<1:50:04, 1.60it/s]
{'loss': 0.3017, 'grad_norm': 0.681659996509552, 'learning_rate': 8.490893321769298e-06, 'epoch': 0.25}
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||
8%|▊ | 979/11526 [10:13<1:50:04, 1.60it/s]
9%|▊ | 980/11526 [10:13<1:49:27, 1.61it/s]
{'loss': 0.332, 'grad_norm': 0.6370188593864441, 'learning_rate': 8.49956634865568e-06, 'epoch': 0.26}
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||
9%|▊ | 980/11526 [10:13<1:49:27, 1.61it/s]
9%|▊ | 981/11526 [10:14<1:48:59, 1.61it/s]
{'loss': 0.354, 'grad_norm': 0.6394904255867004, 'learning_rate': 8.508239375542065e-06, 'epoch': 0.26}
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||
9%|▊ | 981/11526 [10:14<1:48:59, 1.61it/s]
9%|▊ | 982/11526 [10:14<1:48:42, 1.62it/s]
{'loss': 0.2929, 'grad_norm': 0.6187093257904053, 'learning_rate': 8.516912402428448e-06, 'epoch': 0.26}
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||
9%|▊ | 982/11526 [10:14<1:48:42, 1.62it/s]
9%|▊ | 983/11526 [10:15<1:48:27, 1.62it/s]
{'loss': 0.3481, 'grad_norm': 0.6961092948913574, 'learning_rate': 8.525585429314832e-06, 'epoch': 0.26}
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||
9%|▊ | 983/11526 [10:15<1:48:27, 1.62it/s]
9%|▊ | 984/11526 [10:16<1:48:21, 1.62it/s]
{'loss': 0.3179, 'grad_norm': 0.6759708523750305, 'learning_rate': 8.534258456201216e-06, 'epoch': 0.26}
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||
9%|▊ | 984/11526 [10:16<1:48:21, 1.62it/s]
9%|▊ | 985/11526 [10:16<1:48:13, 1.62it/s]
{'loss': 0.3096, 'grad_norm': 0.6581959128379822, 'learning_rate': 8.542931483087598e-06, 'epoch': 0.26}
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||
9%|▊ | 985/11526 [10:16<1:48:13, 1.62it/s]
9%|▊ | 986/11526 [10:17<1:48:08, 1.62it/s]
{'loss': 0.2893, 'grad_norm': 0.8766991496086121, 'learning_rate': 8.551604509973983e-06, 'epoch': 0.26}
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||
9%|▊ | 986/11526 [10:17<1:48:08, 1.62it/s]
9%|▊ | 987/11526 [10:17<1:48:05, 1.62it/s]
{'loss': 0.3004, 'grad_norm': 0.5884973406791687, 'learning_rate': 8.560277536860365e-06, 'epoch': 0.26}
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||
9%|▊ | 987/11526 [10:18<1:48:05, 1.62it/s]
9%|▊ | 988/11526 [10:18<1:48:07, 1.62it/s]
{'loss': 0.268, 'grad_norm': 0.5794839859008789, 'learning_rate': 8.56895056374675e-06, 'epoch': 0.26}
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||
9%|▊ | 988/11526 [10:18<1:48:07, 1.62it/s]
9%|▊ | 989/11526 [10:19<1:48:00, 1.63it/s]
{'loss': 0.3012, 'grad_norm': 0.6424844264984131, 'learning_rate': 8.577623590633132e-06, 'epoch': 0.26}
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||
9%|▊ | 989/11526 [10:19<1:48:00, 1.63it/s]
9%|▊ | 990/11526 [10:19<1:48:11, 1.62it/s]
{'loss': 0.3115, 'grad_norm': 0.8079777359962463, 'learning_rate': 8.586296617519514e-06, 'epoch': 0.26}
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||
9%|▊ | 990/11526 [10:19<1:48:11, 1.62it/s]
9%|▊ | 991/11526 [10:20<1:48:06, 1.62it/s]
{'loss': 0.2857, 'grad_norm': 0.6683807373046875, 'learning_rate': 8.594969644405898e-06, 'epoch': 0.26}
|
||
9%|▊ | 991/11526 [10:20<1:48:06, 1.62it/s]
9%|▊ | 992/11526 [10:21<1:47:59, 1.63it/s]
{'loss': 0.3697, 'grad_norm': 0.6853190064430237, 'learning_rate': 8.603642671292281e-06, 'epoch': 0.26}
|
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[A{'eval_loss': 0.7717033624649048, 'eval_runtime': 1.9535, 'eval_samples_per_second': 102.381, 'eval_steps_per_second': 6.655, 'epoch': 0.26}
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[A
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{'loss': 0.4227, 'grad_norm': 0.8562867641448975, 'learning_rate': 9.366869037294016e-06, 'epoch': 0.28}
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{'loss': 0.3387, 'grad_norm': 0.7235898375511169, 'learning_rate': 9.748482220294883e-06, 'epoch': 0.29}
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{'loss': 0.2179, 'grad_norm': 0.569334089756012, 'learning_rate': 9.757155247181267e-06, 'epoch': 0.29}
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[A{'eval_loss': 0.7692622542381287, 'eval_runtime': 1.9539, 'eval_samples_per_second': 102.358, 'eval_steps_per_second': 6.653, 'epoch': 0.31}
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[A
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[A{'eval_loss': 0.749698281288147, 'eval_runtime': 1.9547, 'eval_samples_per_second': 102.317, 'eval_steps_per_second': 6.651, 'epoch': 0.36}
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[A
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[A{'eval_loss': 0.7292183041572571, 'eval_runtime': 1.9584, 'eval_samples_per_second': 102.123, 'eval_steps_per_second': 6.638, 'epoch': 0.47}
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[A
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16%|█▌ | 1859/11526 [19:24<1:39:02, 1.63it/s]
{'loss': 0.2291, 'grad_norm': 0.5275760889053345, 'learning_rate': 9.88613634256732e-06, 'epoch': 0.48}
|
||
16%|█▌ | 1859/11526 [19:24<1:39:02, 1.63it/s]
16%|█▌ | 1860/11526 [19:24<1:38:59, 1.63it/s]
{'loss': 0.335, 'grad_norm': 0.6378044486045837, 'learning_rate': 9.885814788418367e-06, 'epoch': 0.48}
|
||
16%|█▌ | 1860/11526 [19:24<1:38:59, 1.63it/s]
16%|█▌ | 1861/11526 [19:25<1:38:57, 1.63it/s]
{'loss': 0.2049, 'grad_norm': 0.4788295328617096, 'learning_rate': 9.885492786114682e-06, 'epoch': 0.48}
|
||
16%|█▌ | 1861/11526 [19:25<1:38:57, 1.63it/s]
16%|█▌ | 1862/11526 [19:26<1:39:00, 1.63it/s]
{'loss': 0.2186, 'grad_norm': 0.6270354986190796, 'learning_rate': 9.8851703356858e-06, 'epoch': 0.48}
|
||
16%|█▌ | 1862/11526 [19:26<1:39:00, 1.63it/s]
16%|█▌ | 1863/11526 [19:26<1:38:57, 1.63it/s]
{'loss': 0.2398, 'grad_norm': 0.5636417865753174, 'learning_rate': 9.8848474371613e-06, 'epoch': 0.48}
|
||
16%|█▌ | 1863/11526 [19:26<1:38:57, 1.63it/s]
16%|█▌ | 1864/11526 [19:27<1:38:55, 1.63it/s]
{'loss': 0.252, 'grad_norm': 0.5731325745582581, 'learning_rate': 9.8845240905708e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1864/11526 [19:27<1:38:55, 1.63it/s]
16%|█▌ | 1865/11526 [19:27<1:38:54, 1.63it/s]
{'loss': 0.3072, 'grad_norm': 0.6346918940544128, 'learning_rate': 9.884200295943958e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1865/11526 [19:28<1:38:54, 1.63it/s]
16%|█▌ | 1866/11526 [19:28<1:38:52, 1.63it/s]
{'loss': 0.2237, 'grad_norm': 0.5768142938613892, 'learning_rate': 9.883876053310475e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1866/11526 [19:28<1:38:52, 1.63it/s]
16%|█▌ | 1867/11526 [19:29<1:38:51, 1.63it/s]
{'loss': 0.2908, 'grad_norm': 0.6394780874252319, 'learning_rate': 9.883551362700093e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1867/11526 [19:29<1:38:51, 1.63it/s]
16%|█▌ | 1868/11526 [19:29<1:38:52, 1.63it/s]
{'loss': 0.2705, 'grad_norm': 0.6458249688148499, 'learning_rate': 9.883226224142592e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1868/11526 [19:29<1:38:52, 1.63it/s]
16%|█▌ | 1869/11526 [19:30<1:38:52, 1.63it/s]
{'loss': 0.3164, 'grad_norm': 0.6606937646865845, 'learning_rate': 9.8829006376678e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1869/11526 [19:30<1:38:52, 1.63it/s]
16%|█▌ | 1870/11526 [19:30<1:38:50, 1.63it/s]
{'loss': 0.3527, 'grad_norm': 0.9363361597061157, 'learning_rate': 9.882574603305578e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1870/11526 [19:31<1:38:50, 1.63it/s]
16%|█▌ | 1871/11526 [19:31<1:38:48, 1.63it/s]
{'loss': 0.3018, 'grad_norm': 0.6168779730796814, 'learning_rate': 9.882248121085831e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1871/11526 [19:31<1:38:48, 1.63it/s]
16%|█▌ | 1872/11526 [19:32<1:38:49, 1.63it/s]
{'loss': 0.383, 'grad_norm': 0.7633475661277771, 'learning_rate': 9.881921191038508e-06, 'epoch': 0.49}
|
||
16%|█▌ | 1872/11526 [19:32<1:38:49, 1.63it/s]
16%|█▋ | 1873/11526 [19:32<1:38:49, 1.63it/s]
{'loss': 0.344, 'grad_norm': 0.5873231887817383, 'learning_rate': 9.881593813193598e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1873/11526 [19:32<1:38:49, 1.63it/s]
16%|█▋ | 1874/11526 [19:33<1:38:50, 1.63it/s]
{'loss': 0.3031, 'grad_norm': 0.6077483296394348, 'learning_rate': 9.881265987581128e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1874/11526 [19:33<1:38:50, 1.63it/s]
16%|█▋ | 1875/11526 [19:34<1:38:47, 1.63it/s]
{'loss': 0.3207, 'grad_norm': 0.7646569609642029, 'learning_rate': 9.880937714231166e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1875/11526 [19:34<1:38:47, 1.63it/s]
16%|█▋ | 1876/11526 [19:34<1:38:46, 1.63it/s]
{'loss': 0.2302, 'grad_norm': 0.5585705637931824, 'learning_rate': 9.880608993173829e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1876/11526 [19:34<1:38:46, 1.63it/s]
16%|█▋ | 1877/11526 [19:35<1:38:49, 1.63it/s]
{'loss': 0.3008, 'grad_norm': 0.7021940350532532, 'learning_rate': 9.880279824439263e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1877/11526 [19:35<1:38:49, 1.63it/s]
16%|█▋ | 1878/11526 [19:35<1:38:47, 1.63it/s]
{'loss': 0.2146, 'grad_norm': 0.4949135184288025, 'learning_rate': 9.879950208057665e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1878/11526 [19:36<1:38:47, 1.63it/s]
16%|█▋ | 1879/11526 [19:36<1:38:44, 1.63it/s]
{'loss': 0.2858, 'grad_norm': 0.6212474703788757, 'learning_rate': 9.879620144059268e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1879/11526 [19:36<1:38:44, 1.63it/s]
16%|█▋ | 1880/11526 [19:37<1:38:45, 1.63it/s]
{'loss': 0.3126, 'grad_norm': 0.67038893699646, 'learning_rate': 9.879289632474347e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1880/11526 [19:37<1:38:45, 1.63it/s]
16%|█▋ | 1881/11526 [19:37<1:38:43, 1.63it/s]
{'loss': 0.2553, 'grad_norm': 0.607437252998352, 'learning_rate': 9.878958673333219e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1881/11526 [19:37<1:38:43, 1.63it/s]
16%|█▋ | 1882/11526 [19:38<1:38:42, 1.63it/s]
{'loss': 0.3095, 'grad_norm': 0.6013221740722656, 'learning_rate': 9.87862726666624e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1882/11526 [19:38<1:38:42, 1.63it/s]
16%|█▋ | 1883/11526 [19:38<1:38:42, 1.63it/s]
{'loss': 0.3227, 'grad_norm': 0.6729598045349121, 'learning_rate': 9.878295412503813e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1883/11526 [19:39<1:38:42, 1.63it/s]
16%|█▋ | 1884/11526 [19:39<1:38:44, 1.63it/s]
{'loss': 0.3562, 'grad_norm': 0.7025308012962341, 'learning_rate': 9.877963110876374e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1884/11526 [19:39<1:38:44, 1.63it/s]
16%|█▋ | 1885/11526 [19:40<1:38:43, 1.63it/s]
{'loss': 0.2632, 'grad_norm': 0.6081389784812927, 'learning_rate': 9.877630361814401e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1885/11526 [19:40<1:38:43, 1.63it/s]
16%|█▋ | 1886/11526 [19:40<1:38:48, 1.63it/s]
{'loss': 0.3075, 'grad_norm': 0.6746421456336975, 'learning_rate': 9.87729716534842e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1886/11526 [19:40<1:38:48, 1.63it/s]
16%|█▋ | 1887/11526 [19:41<1:38:54, 1.62it/s]
{'loss': 0.2678, 'grad_norm': 0.5761078000068665, 'learning_rate': 9.876963521508993e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1887/11526 [19:41<1:38:54, 1.62it/s]
16%|█▋ | 1888/11526 [19:42<1:38:50, 1.63it/s]
{'loss': 0.2587, 'grad_norm': 0.5383070707321167, 'learning_rate': 9.876629430326722e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1888/11526 [19:42<1:38:50, 1.63it/s]
16%|█▋ | 1889/11526 [19:42<1:38:48, 1.63it/s]
{'loss': 0.2772, 'grad_norm': 0.5938236713409424, 'learning_rate': 9.876294891832255e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1889/11526 [19:42<1:38:48, 1.63it/s]
16%|█▋ | 1890/11526 [19:43<1:38:44, 1.63it/s]
{'loss': 0.2903, 'grad_norm': 0.6738806962966919, 'learning_rate': 9.875959906056274e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1890/11526 [19:43<1:38:44, 1.63it/s]
16%|█▋ | 1891/11526 [19:43<1:38:49, 1.62it/s]
{'loss': 0.3349, 'grad_norm': 0.6198453307151794, 'learning_rate': 9.875624473029508e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1891/11526 [19:44<1:38:49, 1.62it/s]
16%|█▋ | 1892/11526 [19:44<1:38:48, 1.63it/s]
{'loss': 0.2901, 'grad_norm': 0.5889297723770142, 'learning_rate': 9.875288592782724e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1892/11526 [19:44<1:38:48, 1.63it/s]
16%|█▋ | 1893/11526 [19:45<1:38:42, 1.63it/s]
{'loss': 0.3536, 'grad_norm': 0.7297613620758057, 'learning_rate': 9.87495226534673e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1893/11526 [19:45<1:38:42, 1.63it/s]
16%|█▋ | 1894/11526 [19:45<1:38:39, 1.63it/s]
{'loss': 0.2739, 'grad_norm': 0.5550413727760315, 'learning_rate': 9.874615490752377e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1894/11526 [19:45<1:38:39, 1.63it/s]
16%|█▋ | 1895/11526 [19:46<1:38:37, 1.63it/s]
{'loss': 0.3016, 'grad_norm': 0.6398603916168213, 'learning_rate': 9.874278269030557e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1895/11526 [19:46<1:38:37, 1.63it/s]
16%|█▋ | 1896/11526 [19:46<1:38:39, 1.63it/s]
{'loss': 0.2396, 'grad_norm': 0.4702272415161133, 'learning_rate': 9.8739406002122e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1896/11526 [19:47<1:38:39, 1.63it/s]
16%|█▋ | 1897/11526 [19:47<1:38:35, 1.63it/s]
{'loss': 0.3114, 'grad_norm': 0.6421331763267517, 'learning_rate': 9.87360248432828e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1897/11526 [19:47<1:38:35, 1.63it/s]
16%|█▋ | 1898/11526 [19:48<1:38:34, 1.63it/s]
{'loss': 0.2901, 'grad_norm': 0.613903820514679, 'learning_rate': 9.87326392140981e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1898/11526 [19:48<1:38:34, 1.63it/s]
16%|█▋ | 1899/11526 [19:48<1:38:35, 1.63it/s]
{'loss': 0.3034, 'grad_norm': 0.9019092917442322, 'learning_rate': 9.872924911487845e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1899/11526 [19:48<1:38:35, 1.63it/s]
16%|█▋ | 1900/11526 [19:49<1:38:30, 1.63it/s]
{'loss': 0.3627, 'grad_norm': 0.7461093664169312, 'learning_rate': 9.872585454593482e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1900/11526 [19:49<1:38:30, 1.63it/s]
16%|█▋ | 1901/11526 [19:50<1:38:29, 1.63it/s]
{'loss': 0.1806, 'grad_norm': 0.42721113562583923, 'learning_rate': 9.872245550757858e-06, 'epoch': 0.49}
|
||
16%|█▋ | 1901/11526 [19:50<1:38:29, 1.63it/s]
17%|█▋ | 1902/11526 [19:50<1:38:31, 1.63it/s]
{'loss': 0.2933, 'grad_norm': 0.5794920921325684, 'learning_rate': 9.871905200012148e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1902/11526 [19:50<1:38:31, 1.63it/s]
17%|█▋ | 1903/11526 [19:51<1:38:28, 1.63it/s]
{'loss': 0.338, 'grad_norm': 0.580616295337677, 'learning_rate': 9.871564402387574e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1903/11526 [19:51<1:38:28, 1.63it/s]
17%|█▋ | 1904/11526 [19:51<1:38:29, 1.63it/s]
{'loss': 0.2483, 'grad_norm': 0.4726150333881378, 'learning_rate': 9.871223157915396e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1904/11526 [19:52<1:38:29, 1.63it/s]
17%|█▋ | 1905/11526 [19:52<1:38:30, 1.63it/s]
{'loss': 0.3021, 'grad_norm': 0.5690626502037048, 'learning_rate': 9.870881466626912e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1905/11526 [19:52<1:38:30, 1.63it/s]
17%|█▋ | 1906/11526 [19:53<1:38:38, 1.63it/s]
{'loss': 0.2578, 'grad_norm': 0.7423033714294434, 'learning_rate': 9.870539328553468e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1906/11526 [19:53<1:38:38, 1.63it/s]
17%|█▋ | 1907/11526 [19:53<1:39:03, 1.62it/s]
{'loss': 0.2328, 'grad_norm': 0.5298792123794556, 'learning_rate': 9.870196743726444e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1907/11526 [19:53<1:39:03, 1.62it/s]
17%|█▋ | 1908/11526 [19:54<1:38:51, 1.62it/s]
{'loss': 0.2237, 'grad_norm': 0.47172003984451294, 'learning_rate': 9.869853712177262e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1908/11526 [19:54<1:38:51, 1.62it/s]
17%|█▋ | 1909/11526 [19:54<1:38:42, 1.62it/s]
{'loss': 0.2794, 'grad_norm': 0.6446471214294434, 'learning_rate': 9.869510233937391e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1909/11526 [19:55<1:38:42, 1.62it/s]
17%|█▋ | 1910/11526 [19:55<1:38:36, 1.63it/s]
{'loss': 0.2371, 'grad_norm': 0.5225342512130737, 'learning_rate': 9.869166309038337e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1910/11526 [19:55<1:38:36, 1.63it/s]
17%|█▋ | 1911/11526 [19:56<1:38:37, 1.62it/s]
{'loss': 0.2401, 'grad_norm': 0.5544805526733398, 'learning_rate': 9.868821937511641e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1911/11526 [19:56<1:38:37, 1.62it/s]
17%|█▋ | 1912/11526 [19:56<1:38:34, 1.63it/s]
{'loss': 0.2918, 'grad_norm': 0.615851104259491, 'learning_rate': 9.868477119388897e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1912/11526 [19:56<1:38:34, 1.63it/s]
17%|█▋ | 1913/11526 [19:57<1:38:33, 1.63it/s]
{'loss': 0.2678, 'grad_norm': 0.6200054287910461, 'learning_rate': 9.868131854701729e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1913/11526 [19:57<1:38:33, 1.63it/s]
17%|█▋ | 1914/11526 [19:58<1:38:28, 1.63it/s]
{'loss': 0.2876, 'grad_norm': 0.6332622170448303, 'learning_rate': 9.86778614348181e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1914/11526 [19:58<1:38:28, 1.63it/s]
17%|█▋ | 1915/11526 [19:58<1:38:30, 1.63it/s]
{'loss': 0.2697, 'grad_norm': 0.6188172698020935, 'learning_rate': 9.86743998576085e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1915/11526 [19:58<1:38:30, 1.63it/s]
17%|█▋ | 1916/11526 [19:59<1:38:31, 1.63it/s]
{'loss': 0.204, 'grad_norm': 0.5505199432373047, 'learning_rate': 9.867093381570599e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1916/11526 [19:59<1:38:31, 1.63it/s]
17%|█▋ | 1917/11526 [19:59<1:38:34, 1.62it/s]
{'loss': 0.2931, 'grad_norm': 0.7359306216239929, 'learning_rate': 9.86674633094285e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1917/11526 [20:00<1:38:34, 1.62it/s]
17%|█▋ | 1918/11526 [20:00<1:38:31, 1.63it/s]
{'loss': 0.2084, 'grad_norm': 0.5367986559867859, 'learning_rate': 9.866398833909438e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1918/11526 [20:00<1:38:31, 1.63it/s]
17%|█▋ | 1919/11526 [20:01<1:38:24, 1.63it/s]
{'loss': 0.3018, 'grad_norm': 0.5978849530220032, 'learning_rate': 9.866050890502236e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1919/11526 [20:01<1:38:24, 1.63it/s]
17%|█▋ | 1920/11526 [20:01<1:38:25, 1.63it/s]
{'loss': 0.3253, 'grad_norm': 0.6240270137786865, 'learning_rate': 9.865702500753158e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1920/11526 [20:01<1:38:25, 1.63it/s]
17%|█▋ | 1921/11526 [20:02<1:38:23, 1.63it/s]
{'loss': 0.2507, 'grad_norm': 0.5705375671386719, 'learning_rate': 9.865353664694164e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1921/11526 [20:02<1:38:23, 1.63it/s]
17%|█▋ | 1922/11526 [20:02<1:38:26, 1.63it/s]
{'loss': 0.2898, 'grad_norm': 0.6180533170700073, 'learning_rate': 9.865004382357248e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1922/11526 [20:03<1:38:26, 1.63it/s]
17%|█▋ | 1923/11526 [20:03<1:38:27, 1.63it/s]
{'loss': 0.2699, 'grad_norm': 0.638435423374176, 'learning_rate': 9.86465465377445e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1923/11526 [20:03<1:38:27, 1.63it/s]
17%|█▋ | 1924/11526 [20:04<1:38:24, 1.63it/s]
{'loss': 0.2845, 'grad_norm': 0.6167441606521606, 'learning_rate': 9.864304478977849e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1924/11526 [20:04<1:38:24, 1.63it/s]
17%|█▋ | 1925/11526 [20:04<1:38:18, 1.63it/s]
{'loss': 0.2526, 'grad_norm': 0.5341817736625671, 'learning_rate': 9.863953857999565e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1925/11526 [20:04<1:38:18, 1.63it/s]
17%|█▋ | 1926/11526 [20:05<1:38:17, 1.63it/s]
{'loss': 0.2617, 'grad_norm': 0.5845621228218079, 'learning_rate': 9.863602790871756e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1926/11526 [20:05<1:38:17, 1.63it/s]
17%|█▋ | 1927/11526 [20:06<1:38:19, 1.63it/s]
{'loss': 0.3059, 'grad_norm': 0.6614066958427429, 'learning_rate': 9.863251277626626e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1927/11526 [20:06<1:38:19, 1.63it/s]
17%|█▋ | 1928/11526 [20:06<1:38:18, 1.63it/s]
{'loss': 0.2746, 'grad_norm': 0.5209082365036011, 'learning_rate': 9.862899318296419e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1928/11526 [20:06<1:38:18, 1.63it/s]
17%|█▋ | 1929/11526 [20:07<1:38:22, 1.63it/s]
{'loss': 0.3322, 'grad_norm': 0.7992464900016785, 'learning_rate': 9.86254691291342e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1929/11526 [20:07<1:38:22, 1.63it/s]
17%|█▋ | 1930/11526 [20:07<1:38:23, 1.63it/s]
{'loss': 0.2949, 'grad_norm': 0.7061419486999512, 'learning_rate': 9.862194061509949e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1930/11526 [20:08<1:38:23, 1.63it/s]
17%|█▋ | 1931/11526 [20:08<1:38:30, 1.62it/s]
{'loss': 0.2525, 'grad_norm': 0.5105396509170532, 'learning_rate': 9.861840764118375e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1931/11526 [20:08<1:38:30, 1.62it/s]
17%|█▋ | 1932/11526 [20:09<1:38:30, 1.62it/s]
{'loss': 0.2295, 'grad_norm': 0.5667216181755066, 'learning_rate': 9.861487020771103e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1932/11526 [20:09<1:38:30, 1.62it/s]
17%|█▋ | 1933/11526 [20:09<1:38:22, 1.63it/s]
{'loss': 0.2713, 'grad_norm': 0.5570502877235413, 'learning_rate': 9.86113283150058e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1933/11526 [20:09<1:38:22, 1.63it/s]
17%|█▋ | 1934/11526 [20:10<1:38:16, 1.63it/s]
{'loss': 0.2565, 'grad_norm': 0.5462026000022888, 'learning_rate': 9.860778196339295e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1934/11526 [20:10<1:38:16, 1.63it/s]
17%|█▋ | 1935/11526 [20:10<1:38:13, 1.63it/s]
{'loss': 0.287, 'grad_norm': 0.5885124206542969, 'learning_rate': 9.860423115319778e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1935/11526 [20:11<1:38:13, 1.63it/s]
17%|█▋ | 1936/11526 [20:11<1:38:24, 1.62it/s]
{'loss': 0.2994, 'grad_norm': 0.5526739358901978, 'learning_rate': 9.860067588474597e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1936/11526 [20:11<1:38:24, 1.62it/s]
17%|█▋ | 1937/11526 [20:12<1:38:23, 1.62it/s]
{'loss': 0.3217, 'grad_norm': 0.6317270398139954, 'learning_rate': 9.859711615836366e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1937/11526 [20:12<1:38:23, 1.62it/s]
17%|█▋ | 1938/11526 [20:12<1:38:20, 1.63it/s]
{'loss': 0.3135, 'grad_norm': 0.6550793051719666, 'learning_rate': 9.859355197437735e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1938/11526 [20:12<1:38:20, 1.63it/s]
17%|█▋ | 1939/11526 [20:13<1:38:14, 1.63it/s]
{'loss': 0.3355, 'grad_norm': 0.5893796682357788, 'learning_rate': 9.858998333311394e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1939/11526 [20:13<1:38:14, 1.63it/s]
17%|█▋ | 1940/11526 [20:14<1:38:10, 1.63it/s]
{'loss': 0.2288, 'grad_norm': 0.545036256313324, 'learning_rate': 9.858641023490082e-06, 'epoch': 0.5}
|
||
17%|█▋ | 1940/11526 [20:14<1:38:10, 1.63it/s]
17%|█▋ | 1941/11526 [20:14<1:38:08, 1.63it/s]
{'loss': 0.2464, 'grad_norm': 0.603199303150177, 'learning_rate': 9.85828326800657e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1941/11526 [20:14<1:38:08, 1.63it/s]
17%|█▋ | 1942/11526 [20:15<1:38:15, 1.63it/s]
{'loss': 0.3142, 'grad_norm': 0.6055068373680115, 'learning_rate': 9.857925066893674e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1942/11526 [20:15<1:38:15, 1.63it/s]
17%|█▋ | 1943/11526 [20:15<1:38:11, 1.63it/s]
{'loss': 0.2826, 'grad_norm': 0.6488090753555298, 'learning_rate': 9.85756642018425e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1943/11526 [20:16<1:38:11, 1.63it/s]
17%|█▋ | 1944/11526 [20:16<1:38:10, 1.63it/s]
{'loss': 0.285, 'grad_norm': 0.613360583782196, 'learning_rate': 9.857207327911196e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1944/11526 [20:16<1:38:10, 1.63it/s]
17%|█▋ | 1945/11526 [20:17<1:38:06, 1.63it/s]
{'loss': 0.2357, 'grad_norm': 0.6925175189971924, 'learning_rate': 9.85684779010745e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1945/11526 [20:17<1:38:06, 1.63it/s]
17%|█▋ | 1946/11526 [20:17<1:38:08, 1.63it/s]
{'loss': 0.2671, 'grad_norm': 0.6227112412452698, 'learning_rate': 9.85648780680599e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1946/11526 [20:17<1:38:08, 1.63it/s]
17%|█▋ | 1947/11526 [20:18<1:38:06, 1.63it/s]
{'loss': 0.239, 'grad_norm': 0.5638155937194824, 'learning_rate': 9.856127378039836e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1947/11526 [20:18<1:38:06, 1.63it/s]
17%|█▋ | 1948/11526 [20:18<1:38:04, 1.63it/s]
{'loss': 0.3136, 'grad_norm': 0.6074802279472351, 'learning_rate': 9.855766503842048e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1948/11526 [20:19<1:38:04, 1.63it/s]
17%|█▋ | 1949/11526 [20:19<1:38:02, 1.63it/s]
{'loss': 0.2663, 'grad_norm': 0.6013402938842773, 'learning_rate': 9.855405184245728e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1949/11526 [20:19<1:38:02, 1.63it/s]
17%|█▋ | 1950/11526 [20:20<1:38:00, 1.63it/s]
{'loss': 0.2417, 'grad_norm': 0.5306558609008789, 'learning_rate': 9.85504341928402e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1950/11526 [20:20<1:38:00, 1.63it/s]
17%|█▋ | 1951/11526 [20:20<1:37:58, 1.63it/s]
{'loss': 0.2602, 'grad_norm': 0.6090792417526245, 'learning_rate': 9.854681208990105e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1951/11526 [20:20<1:37:58, 1.63it/s]
17%|█▋ | 1952/11526 [20:21<1:37:58, 1.63it/s]
{'loss': 0.3246, 'grad_norm': 0.6346650719642639, 'learning_rate': 9.854318553397206e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1952/11526 [20:21<1:37:58, 1.63it/s]
17%|█▋ | 1953/11526 [20:22<1:37:58, 1.63it/s]
{'loss': 0.2507, 'grad_norm': 0.5435665845870972, 'learning_rate': 9.853955452538592e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1953/11526 [20:22<1:37:58, 1.63it/s]
17%|█▋ | 1954/11526 [20:22<1:37:59, 1.63it/s]
{'loss': 0.3544, 'grad_norm': 0.7238031625747681, 'learning_rate': 9.853591906447564e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1954/11526 [20:22<1:37:59, 1.63it/s]
17%|█▋ | 1955/11526 [20:23<1:37:56, 1.63it/s]
{'loss': 0.2995, 'grad_norm': 0.6415871381759644, 'learning_rate': 9.85322791515747e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1955/11526 [20:23<1:37:56, 1.63it/s]
17%|█▋ | 1956/11526 [20:23<1:37:55, 1.63it/s]
{'loss': 0.3063, 'grad_norm': 0.6676236391067505, 'learning_rate': 9.852863478701699e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1956/11526 [20:23<1:37:55, 1.63it/s]
17%|█▋ | 1957/11526 [20:24<1:37:56, 1.63it/s]
{'loss': 0.3076, 'grad_norm': 0.7011843323707581, 'learning_rate': 9.85249859711368e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1957/11526 [20:24<1:37:56, 1.63it/s]
17%|█▋ | 1958/11526 [20:25<1:37:56, 1.63it/s]
{'loss': 0.3469, 'grad_norm': 0.744916558265686, 'learning_rate': 9.852133270426877e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1958/11526 [20:25<1:37:56, 1.63it/s]
17%|█▋ | 1959/11526 [20:25<1:37:55, 1.63it/s]
{'loss': 0.2314, 'grad_norm': 0.5238153338432312, 'learning_rate': 9.851767498674804e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1959/11526 [20:25<1:37:55, 1.63it/s]
17%|█▋ | 1960/11526 [20:26<1:37:54, 1.63it/s]
{'loss': 0.3512, 'grad_norm': 0.6210460662841797, 'learning_rate': 9.851401281891011e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1960/11526 [20:26<1:37:54, 1.63it/s]
17%|█▋ | 1961/11526 [20:26<1:37:56, 1.63it/s]
{'loss': 0.2515, 'grad_norm': 0.6010885238647461, 'learning_rate': 9.851034620109088e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1961/11526 [20:27<1:37:56, 1.63it/s]
17%|█▋ | 1962/11526 [20:27<1:37:56, 1.63it/s]
{'loss': 0.2647, 'grad_norm': 0.5666185617446899, 'learning_rate': 9.85066751336267e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1962/11526 [20:27<1:37:56, 1.63it/s]
17%|█▋ | 1963/11526 [20:28<1:37:53, 1.63it/s]
{'loss': 0.291, 'grad_norm': 0.5947827100753784, 'learning_rate': 9.850299961685428e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1963/11526 [20:28<1:37:53, 1.63it/s]
17%|█▋ | 1964/11526 [20:28<1:37:51, 1.63it/s]
{'loss': 0.2416, 'grad_norm': 0.5564320683479309, 'learning_rate': 9.849931965111075e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1964/11526 [20:28<1:37:51, 1.63it/s]
17%|█▋ | 1965/11526 [20:29<1:37:49, 1.63it/s]
{'loss': 0.228, 'grad_norm': 0.46795517206192017, 'learning_rate': 9.84956352367337e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1965/11526 [20:29<1:37:49, 1.63it/s]
17%|█▋ | 1966/11526 [20:30<1:37:51, 1.63it/s]
{'loss': 0.3123, 'grad_norm': 0.6679921746253967, 'learning_rate': 9.849194637406104e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1966/11526 [20:30<1:37:51, 1.63it/s]
17%|█▋ | 1967/11526 [20:30<1:37:49, 1.63it/s]
{'loss': 0.338, 'grad_norm': 0.5808160901069641, 'learning_rate': 9.848825306343114e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1967/11526 [20:30<1:37:49, 1.63it/s]
17%|█▋ | 1968/11526 [20:31<1:37:48, 1.63it/s]
{'loss': 0.297, 'grad_norm': 0.5990259647369385, 'learning_rate': 9.84845553051828e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1968/11526 [20:31<1:37:48, 1.63it/s]
17%|█▋ | 1969/11526 [20:31<1:37:46, 1.63it/s]
{'loss': 0.3589, 'grad_norm': 0.638698399066925, 'learning_rate': 9.848085309965516e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1969/11526 [20:31<1:37:46, 1.63it/s]
17%|█▋ | 1970/11526 [20:32<1:37:46, 1.63it/s]
{'loss': 0.3401, 'grad_norm': 0.6428869962692261, 'learning_rate': 9.847714644718786e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1970/11526 [20:32<1:37:46, 1.63it/s]
17%|█▋ | 1971/11526 [20:33<1:37:45, 1.63it/s]
{'loss': 0.332, 'grad_norm': 0.7436872124671936, 'learning_rate': 9.847343534812084e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1971/11526 [20:33<1:37:45, 1.63it/s]
17%|█▋ | 1972/11526 [20:33<1:37:49, 1.63it/s]
{'loss': 0.3236, 'grad_norm': 0.6759253144264221, 'learning_rate': 9.846971980279454e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1972/11526 [20:33<1:37:49, 1.63it/s]
17%|█▋ | 1973/11526 [20:34<1:37:49, 1.63it/s]
{'loss': 0.2818, 'grad_norm': 0.5801043510437012, 'learning_rate': 9.846599981154975e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1973/11526 [20:34<1:37:49, 1.63it/s]
17%|█▋ | 1974/11526 [20:34<1:37:50, 1.63it/s]
{'loss': 0.2843, 'grad_norm': 0.6422803997993469, 'learning_rate': 9.84622753747277e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1974/11526 [20:35<1:37:50, 1.63it/s]
17%|█▋ | 1975/11526 [20:35<1:37:52, 1.63it/s]
{'loss': 0.2617, 'grad_norm': 0.6686455607414246, 'learning_rate': 9.845854649267001e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1975/11526 [20:35<1:37:52, 1.63it/s]
17%|█▋ | 1976/11526 [20:36<1:37:48, 1.63it/s]
{'loss': 0.3951, 'grad_norm': 0.6806864142417908, 'learning_rate': 9.845481316571873e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1976/11526 [20:36<1:37:48, 1.63it/s]
17%|█▋ | 1977/11526 [20:36<1:37:45, 1.63it/s]
{'loss': 0.3481, 'grad_norm': 0.6983235478401184, 'learning_rate': 9.845107539421627e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1977/11526 [20:36<1:37:45, 1.63it/s]
17%|█▋ | 1978/11526 [20:37<1:37:47, 1.63it/s]
{'loss': 0.2873, 'grad_norm': 0.6125569939613342, 'learning_rate': 9.844733317850553e-06, 'epoch': 0.51}
|
||
17%|█▋ | 1978/11526 [20:37<1:37:47, 1.63it/s]
17%|█▋ | 1979/11526 [20:37<1:37:43, 1.63it/s]
{'loss': 0.2666, 'grad_norm': 0.6162131428718567, 'learning_rate': 9.844358651892972e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1979/11526 [20:38<1:37:43, 1.63it/s]
17%|█▋ | 1980/11526 [20:38<1:37:41, 1.63it/s]
{'loss': 0.2945, 'grad_norm': 0.5899200439453125, 'learning_rate': 9.84398354158325e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1980/11526 [20:38<1:37:41, 1.63it/s]
17%|█▋ | 1981/11526 [20:39<1:37:41, 1.63it/s]
{'loss': 0.251, 'grad_norm': 0.5247451066970825, 'learning_rate': 9.8436079869558e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1981/11526 [20:39<1:37:41, 1.63it/s]
17%|█▋ | 1982/11526 [20:39<1:37:42, 1.63it/s]
{'loss': 0.2977, 'grad_norm': 0.6177548766136169, 'learning_rate': 9.843231988045065e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1982/11526 [20:39<1:37:42, 1.63it/s]
17%|█▋ | 1983/11526 [20:40<1:37:38, 1.63it/s]
{'loss': 0.3524, 'grad_norm': 0.6651867032051086, 'learning_rate': 9.842855544885535e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1983/11526 [20:40<1:37:38, 1.63it/s]
17%|█▋ | 1984/11526 [20:41<1:37:38, 1.63it/s]
{'loss': 0.2971, 'grad_norm': 0.5762016773223877, 'learning_rate': 9.84247865751174e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1984/11526 [20:41<1:37:38, 1.63it/s]
17%|█▋ | 1985/11526 [20:41<1:37:38, 1.63it/s]
{'loss': 0.2535, 'grad_norm': 0.5509292483329773, 'learning_rate': 9.84210132595825e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1985/11526 [20:41<1:37:38, 1.63it/s]
17%|█▋ | 1986/11526 [20:42<1:37:37, 1.63it/s]
{'loss': 0.4396, 'grad_norm': 0.6986450552940369, 'learning_rate': 9.841723550259676e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1986/11526 [20:42<1:37:37, 1.63it/s]
17%|█▋ | 1987/11526 [20:42<1:37:38, 1.63it/s]
{'loss': 0.3031, 'grad_norm': 0.5996002554893494, 'learning_rate': 9.841345330450668e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1987/11526 [20:43<1:37:38, 1.63it/s]
17%|█▋ | 1988/11526 [20:43<1:37:38, 1.63it/s]
{'loss': 0.2093, 'grad_norm': 0.5217267274856567, 'learning_rate': 9.840966666565923e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1988/11526 [20:43<1:37:38, 1.63it/s]
17%|█▋ | 1989/11526 [20:44<1:37:34, 1.63it/s]
{'loss': 0.2992, 'grad_norm': 0.6691561341285706, 'learning_rate': 9.840587558640172e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1989/11526 [20:44<1:37:34, 1.63it/s]
17%|█▋ | 1990/11526 [20:44<1:37:35, 1.63it/s]
{'loss': 0.3118, 'grad_norm': 0.5913621783256531, 'learning_rate': 9.840208006708185e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1990/11526 [20:44<1:37:35, 1.63it/s]
17%|█▋ | 1991/11526 [20:45<1:37:34, 1.63it/s]
{'loss': 0.3368, 'grad_norm': 0.7006104588508606, 'learning_rate': 9.839828010804781e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1991/11526 [20:45<1:37:34, 1.63it/s]
17%|█▋ | 1992/11526 [20:45<1:37:33, 1.63it/s]
{'loss': 0.2951, 'grad_norm': 0.5856809020042419, 'learning_rate': 9.839447570964816e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1992/11526 [20:46<1:37:33, 1.63it/s]
17%|█▋ | 1993/11526 [20:46<1:37:33, 1.63it/s]
{'loss': 0.2482, 'grad_norm': 0.5935633182525635, 'learning_rate': 9.839066687223183e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1993/11526 [20:46<1:37:33, 1.63it/s]
17%|█▋ | 1994/11526 [20:47<1:37:38, 1.63it/s]
{'loss': 0.2492, 'grad_norm': 0.5615251064300537, 'learning_rate': 9.838685359614819e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1994/11526 [20:47<1:37:38, 1.63it/s]
17%|█▋ | 1995/11526 [20:47<1:37:36, 1.63it/s]
{'loss': 0.2247, 'grad_norm': 0.5174044370651245, 'learning_rate': 9.838303588174705e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1995/11526 [20:47<1:37:36, 1.63it/s]
17%|█▋ | 1996/11526 [20:48<1:37:34, 1.63it/s]
{'loss': 0.3417, 'grad_norm': 0.7576023936271667, 'learning_rate': 9.837921372937856e-06, 'epoch': 0.52}
|
||
17%|█▋ | 1996/11526 [20:48<1:37:34, 1.63it/s]
17%|█▋ | 1997/11526 [20:49<1:37:33, 1.63it/s]
{'loss': 0.2151, 'grad_norm': 0.58174067735672, 'learning_rate': 9.837538713939334e-06, 'epoch': 0.52}
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17%|█▋ | 1997/11526 [20:49<1:37:33, 1.63it/s]
17%|█▋ | 1998/11526 [20:49<1:37:31, 1.63it/s]
{'loss': 0.327, 'grad_norm': 0.6956343650817871, 'learning_rate': 9.837155611214235e-06, 'epoch': 0.52}
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17%|█▋ | 1998/11526 [20:49<1:37:31, 1.63it/s]
17%|█▋ | 1999/11526 [20:50<1:37:29, 1.63it/s]
{'loss': 0.2583, 'grad_norm': 0.5294623970985413, 'learning_rate': 9.8367720647977e-06, 'epoch': 0.52}
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17%|█▋ | 1999/11526 [20:50<1:37:29, 1.63it/s]
17%|█▋ | 2000/11526 [20:50<1:37:32, 1.63it/s]
{'loss': 0.2688, 'grad_norm': 0.5461587309837341, 'learning_rate': 9.836388074724913e-06, 'epoch': 0.52}
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17%|█▋ | 2000/11526 [20:51<1:37:32, 1.63it/s]
|
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0%| | 0/13 [00:00<?, ?it/s][A
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15%|█▌ | 2/13 [00:00<00:00, 13.35it/s][A
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31%|███ | 4/13 [00:00<00:01, 8.39it/s][A
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38%|███▊ | 5/13 [00:00<00:01, 7.79it/s][A
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46%|████▌ | 6/13 [00:00<00:00, 7.41it/s][A
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54%|█████▍ | 7/13 [00:00<00:00, 7.17it/s][A
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62%|██████▏ | 8/13 [00:01<00:00, 7.01it/s][A
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69%|██████▉ | 9/13 [00:01<00:00, 6.90it/s][A
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77%|███████▋ | 10/13 [00:01<00:00, 6.82it/s][A
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85%|████████▍ | 11/13 [00:01<00:00, 6.77it/s][A
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92%|█████████▏| 12/13 [00:01<00:00, 6.74it/s][A
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100%|██████████| 13/13 [00:01<00:00, 6.75it/s][A
|
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[A{'eval_loss': 0.7131911516189575, 'eval_runtime': 1.9561, 'eval_samples_per_second': 102.244, 'eval_steps_per_second': 6.646, 'epoch': 0.52}
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17%|█▋ | 2000/11526 [20:52<1:37:32, 1.63it/s]
|
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100%|██████████| 13/13 [00:01<00:00, 6.75it/s][A
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[A
17%|█▋ | 2001/11526 [20:53<3:10:57, 1.20s/it]
{'loss': 0.2824, 'grad_norm': 0.5446604490280151, 'learning_rate': 9.836003641031094e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2001/11526 [20:53<3:10:57, 1.20s/it]
17%|█▋ | 2002/11526 [20:54<2:42:51, 1.03s/it]
{'loss': 0.2351, 'grad_norm': 0.5491369962692261, 'learning_rate': 9.835618763751504e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2002/11526 [20:54<2:42:51, 1.03s/it]
17%|█▋ | 2003/11526 [20:54<2:23:14, 1.11it/s]
{'loss': 0.3835, 'grad_norm': 0.6433938145637512, 'learning_rate': 9.835233442921448e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2003/11526 [20:54<2:23:14, 1.11it/s]
17%|█▋ | 2004/11526 [20:55<2:09:30, 1.23it/s]
{'loss': 0.3188, 'grad_norm': 0.6492552161216736, 'learning_rate': 9.83484767857627e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2004/11526 [20:55<2:09:30, 1.23it/s]
17%|█▋ | 2005/11526 [20:55<1:59:50, 1.32it/s]
{'loss': 0.3799, 'grad_norm': 0.6396065354347229, 'learning_rate': 9.834461470751353e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2005/11526 [20:56<1:59:50, 1.32it/s]
17%|█▋ | 2006/11526 [20:56<1:53:06, 1.40it/s]
{'loss': 0.221, 'grad_norm': 0.4855790138244629, 'learning_rate': 9.834074819482122e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2006/11526 [20:56<1:53:06, 1.40it/s]
17%|█▋ | 2007/11526 [20:57<1:48:23, 1.46it/s]
{'loss': 0.2706, 'grad_norm': 0.5560048818588257, 'learning_rate': 9.833687724804045e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2007/11526 [20:57<1:48:23, 1.46it/s]
17%|█▋ | 2008/11526 [20:57<1:45:08, 1.51it/s]
{'loss': 0.3178, 'grad_norm': 0.7912834286689758, 'learning_rate': 9.833300186752626e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2008/11526 [20:57<1:45:08, 1.51it/s]
17%|█▋ | 2009/11526 [20:58<1:42:49, 1.54it/s]
{'loss': 0.233, 'grad_norm': 0.5611964464187622, 'learning_rate': 9.832912205363416e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2009/11526 [20:58<1:42:49, 1.54it/s]
17%|█▋ | 2010/11526 [20:58<1:41:11, 1.57it/s]
{'loss': 0.3714, 'grad_norm': 0.5634106397628784, 'learning_rate': 9.832523780672e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2010/11526 [20:59<1:41:11, 1.57it/s]
17%|█▋ | 2011/11526 [20:59<1:40:03, 1.58it/s]
{'loss': 0.2743, 'grad_norm': 0.714896023273468, 'learning_rate': 9.832134912714005e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2011/11526 [20:59<1:40:03, 1.58it/s]
17%|█▋ | 2012/11526 [21:00<1:39:19, 1.60it/s]
{'loss': 0.2793, 'grad_norm': 0.5395379662513733, 'learning_rate': 9.831745601525102e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2012/11526 [21:00<1:39:19, 1.60it/s]
17%|█▋ | 2013/11526 [21:00<1:38:44, 1.61it/s]
{'loss': 0.3089, 'grad_norm': 0.6605382561683655, 'learning_rate': 9.831355847141002e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2013/11526 [21:00<1:38:44, 1.61it/s]
17%|█▋ | 2014/11526 [21:01<1:38:22, 1.61it/s]
{'loss': 0.2101, 'grad_norm': 0.49655580520629883, 'learning_rate': 9.830965649597455e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2014/11526 [21:01<1:38:22, 1.61it/s]
17%|█▋ | 2015/11526 [21:02<1:38:02, 1.62it/s]
{'loss': 0.2645, 'grad_norm': 0.6307304501533508, 'learning_rate': 9.830575008930252e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2015/11526 [21:02<1:38:02, 1.62it/s]
17%|█▋ | 2016/11526 [21:02<1:37:48, 1.62it/s]
{'loss': 0.4017, 'grad_norm': 0.7202574014663696, 'learning_rate': 9.830183925175223e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2016/11526 [21:02<1:37:48, 1.62it/s]
17%|█▋ | 2017/11526 [21:03<1:37:38, 1.62it/s]
{'loss': 0.3156, 'grad_norm': 0.6160435676574707, 'learning_rate': 9.82979239836824e-06, 'epoch': 0.52}
|
||
17%|█▋ | 2017/11526 [21:03<1:37:38, 1.62it/s]
18%|█▊ | 2018/11526 [21:03<1:37:30, 1.63it/s]
{'loss': 0.3142, 'grad_norm': 0.6680341362953186, 'learning_rate': 9.829400428545221e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2018/11526 [21:04<1:37:30, 1.63it/s]
18%|█▊ | 2019/11526 [21:04<1:37:24, 1.63it/s]
{'loss': 0.3699, 'grad_norm': 0.7847038507461548, 'learning_rate': 9.829008015742116e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2019/11526 [21:04<1:37:24, 1.63it/s]
18%|█▊ | 2020/11526 [21:05<1:37:21, 1.63it/s]
{'loss': 0.4274, 'grad_norm': 0.515755295753479, 'learning_rate': 9.828615159994919e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2020/11526 [21:05<1:37:21, 1.63it/s]
18%|█▊ | 2021/11526 [21:05<1:37:19, 1.63it/s]
{'loss': 0.2658, 'grad_norm': 0.5729355812072754, 'learning_rate': 9.828221861339667e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2021/11526 [21:05<1:37:19, 1.63it/s]
18%|█▊ | 2022/11526 [21:06<1:37:17, 1.63it/s]
{'loss': 0.2693, 'grad_norm': 0.5991700887680054, 'learning_rate': 9.827828119812432e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2022/11526 [21:06<1:37:17, 1.63it/s]
18%|█▊ | 2023/11526 [21:06<1:37:16, 1.63it/s]
{'loss': 0.3046, 'grad_norm': 0.587770938873291, 'learning_rate': 9.827433935449335e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2023/11526 [21:07<1:37:16, 1.63it/s]
18%|█▊ | 2024/11526 [21:07<1:37:15, 1.63it/s]
{'loss': 0.2898, 'grad_norm': 0.5742209553718567, 'learning_rate': 9.827039308286531e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2024/11526 [21:07<1:37:15, 1.63it/s]
18%|█▊ | 2025/11526 [21:08<1:37:12, 1.63it/s]
{'loss': 0.2814, 'grad_norm': 0.6551092267036438, 'learning_rate': 9.826644238360215e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2025/11526 [21:08<1:37:12, 1.63it/s]
18%|█▊ | 2026/11526 [21:08<1:37:13, 1.63it/s]
{'loss': 0.2404, 'grad_norm': 0.5567050576210022, 'learning_rate': 9.826248725706627e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2026/11526 [21:08<1:37:13, 1.63it/s]
18%|█▊ | 2027/11526 [21:09<1:37:12, 1.63it/s]
{'loss': 0.3673, 'grad_norm': 0.7118464112281799, 'learning_rate': 9.825852770362046e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2027/11526 [21:09<1:37:12, 1.63it/s]
18%|█▊ | 2028/11526 [21:10<1:37:10, 1.63it/s]
{'loss': 0.3005, 'grad_norm': 0.5876781344413757, 'learning_rate': 9.825456372362791e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2028/11526 [21:10<1:37:10, 1.63it/s]
18%|█▊ | 2029/11526 [21:10<1:37:12, 1.63it/s]
{'loss': 0.2996, 'grad_norm': 0.6070621609687805, 'learning_rate': 9.825059531745222e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2029/11526 [21:10<1:37:12, 1.63it/s]
18%|█▊ | 2030/11526 [21:11<1:37:14, 1.63it/s]
{'loss': 0.2744, 'grad_norm': 0.6002430319786072, 'learning_rate': 9.82466224854574e-06, 'epoch': 0.53}
|
||
18%|█▊ | 2030/11526 [21:11<1:37:14, 1.63it/s]
18%|█▊ | 2031/11526 [21:11<1:37:13, 1.63it/s]
{'loss': 0.2665, 'grad_norm': 0.5276063084602356, 'learning_rate': 9.824264522800785e-06, 'epoch': 0.53}
|
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18%|█▊ | 2031/11526 [21:12<1:37:13, 1.63it/s]
18%|█▊ | 2032/11526 [21:12<1:37:09, 1.63it/s]
{'loss': 0.2942, 'grad_norm': 0.6858761310577393, 'learning_rate': 9.823866354546837e-06, 'epoch': 0.53}
|
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18%|█▊ | 2032/11526 [21:12<1:37:09, 1.63it/s]
18%|█▊ | 2033/11526 [21:13<1:37:06, 1.63it/s]
{'loss': 0.2457, 'grad_norm': 0.5459600687026978, 'learning_rate': 9.823467743820424e-06, 'epoch': 0.53}
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18%|█▊ | 2033/11526 [21:13<1:37:06, 1.63it/s]
18%|█▊ | 2034/11526 [21:13<1:37:04, 1.63it/s]
{'loss': 0.2435, 'grad_norm': 0.5037608742713928, 'learning_rate': 9.823068690658104e-06, 'epoch': 0.53}
|
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18%|█▊ | 2034/11526 [21:13<1:37:04, 1.63it/s]
18%|█▊ | 2035/11526 [21:14<1:37:02, 1.63it/s]
{'loss': 0.2779, 'grad_norm': 0.6154975891113281, 'learning_rate': 9.822669195096479e-06, 'epoch': 0.53}
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18%|█▊ | 2035/11526 [21:14<1:37:02, 1.63it/s]
18%|█▊ | 2036/11526 [21:14<1:37:06, 1.63it/s]
{'loss': 0.2218, 'grad_norm': 0.46242424845695496, 'learning_rate': 9.822269257172199e-06, 'epoch': 0.53}
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18%|█▊ | 2036/11526 [21:15<1:37:06, 1.63it/s]
18%|█▊ | 2037/11526 [21:15<1:37:05, 1.63it/s]
{'loss': 0.2463, 'grad_norm': 0.6080564260482788, 'learning_rate': 9.821868876921942e-06, 'epoch': 0.53}
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18%|█▊ | 2037/11526 [21:15<1:37:05, 1.63it/s]
18%|█▊ | 2038/11526 [21:16<1:37:03, 1.63it/s]
{'loss': 0.3291, 'grad_norm': 0.6071076393127441, 'learning_rate': 9.821468054382437e-06, 'epoch': 0.53}
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18%|█▊ | 2038/11526 [21:16<1:37:03, 1.63it/s]
18%|█▊ | 2039/11526 [21:16<1:37:02, 1.63it/s]
{'loss': 0.2962, 'grad_norm': 0.566139280796051, 'learning_rate': 9.821066789590451e-06, 'epoch': 0.53}
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18%|█▊ | 2039/11526 [21:16<1:37:02, 1.63it/s]
18%|█▊ | 2040/11526 [21:17<1:37:01, 1.63it/s]
{'loss': 0.2757, 'grad_norm': 0.6636941432952881, 'learning_rate': 9.820665082582788e-06, 'epoch': 0.53}
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18%|█▊ | 2040/11526 [21:17<1:37:01, 1.63it/s]
18%|█▊ | 2041/11526 [21:18<1:37:02, 1.63it/s]
{'loss': 0.312, 'grad_norm': 0.6265758872032166, 'learning_rate': 9.820262933396294e-06, 'epoch': 0.53}
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18%|█▊ | 2041/11526 [21:18<1:37:02, 1.63it/s]
18%|█▊ | 2042/11526 [21:18<1:37:03, 1.63it/s]
{'loss': 0.2614, 'grad_norm': 0.5617411732673645, 'learning_rate': 9.819860342067857e-06, 'epoch': 0.53}
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18%|█▊ | 2042/11526 [21:18<1:37:03, 1.63it/s]
18%|█▊ | 2043/11526 [21:19<1:36:59, 1.63it/s]
{'loss': 0.2349, 'grad_norm': 0.508937418460846, 'learning_rate': 9.819457308634407e-06, 'epoch': 0.53}
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18%|█▊ | 2043/11526 [21:19<1:36:59, 1.63it/s]
18%|█▊ | 2044/11526 [21:19<1:36:58, 1.63it/s]
{'loss': 0.2903, 'grad_norm': 0.6692588329315186, 'learning_rate': 9.81905383313291e-06, 'epoch': 0.53}
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18%|█▊ | 2044/11526 [21:19<1:36:58, 1.63it/s]
18%|█▊ | 2045/11526 [21:20<1:36:59, 1.63it/s]
{'loss': 0.2217, 'grad_norm': 0.5411730408668518, 'learning_rate': 9.818649915600378e-06, 'epoch': 0.53}
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18%|█▊ | 2045/11526 [21:20<1:36:59, 1.63it/s]
18%|█▊ | 2046/11526 [21:21<1:37:00, 1.63it/s]
{'loss': 0.2749, 'grad_norm': 0.5740834474563599, 'learning_rate': 9.818245556073857e-06, 'epoch': 0.53}
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18%|█▊ | 2046/11526 [21:21<1:37:00, 1.63it/s]
18%|█▊ | 2047/11526 [21:21<1:36:58, 1.63it/s]
{'loss': 0.3291, 'grad_norm': 0.7335115075111389, 'learning_rate': 9.81784075459044e-06, 'epoch': 0.53}
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18%|█▊ | 2047/11526 [21:21<1:36:58, 1.63it/s]
18%|█▊ | 2048/11526 [21:22<1:37:00, 1.63it/s]
{'loss': 0.2329, 'grad_norm': 0.6030722856521606, 'learning_rate': 9.817435511187254e-06, 'epoch': 0.53}
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18%|█▊ | 2048/11526 [21:22<1:37:00, 1.63it/s]
18%|█▊ | 2049/11526 [21:22<1:36:57, 1.63it/s]
{'loss': 0.2412, 'grad_norm': 0.5488190650939941, 'learning_rate': 9.817029825901476e-06, 'epoch': 0.53}
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18%|█▊ | 2049/11526 [21:23<1:36:57, 1.63it/s]
18%|█▊ | 2050/11526 [21:23<1:36:59, 1.63it/s]
{'loss': 0.3047, 'grad_norm': 0.6206074357032776, 'learning_rate': 9.816623698770314e-06, 'epoch': 0.53}
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18%|█▊ | 2050/11526 [21:23<1:36:59, 1.63it/s]
18%|█▊ | 2051/11526 [21:24<1:36:57, 1.63it/s]
{'loss': 0.2512, 'grad_norm': 0.5848062634468079, 'learning_rate': 9.816217129831019e-06, 'epoch': 0.53}
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18%|█▊ | 2052/11526 [21:24<1:36:55, 1.63it/s]
{'loss': 0.2733, 'grad_norm': 0.6483746767044067, 'learning_rate': 9.815810119120887e-06, 'epoch': 0.53}
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18%|█▊ | 2053/11526 [21:25<1:36:54, 1.63it/s]
{'loss': 0.2692, 'grad_norm': 0.5696589350700378, 'learning_rate': 9.815402666677249e-06, 'epoch': 0.53}
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18%|█▊ | 2054/11526 [21:26<1:36:56, 1.63it/s]
{'loss': 0.3218, 'grad_norm': 0.5826513767242432, 'learning_rate': 9.814994772537482e-06, 'epoch': 0.53}
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18%|█▊ | 2055/11526 [21:26<1:36:54, 1.63it/s]
{'loss': 0.2557, 'grad_norm': 0.5441277027130127, 'learning_rate': 9.814586436738998e-06, 'epoch': 0.53}
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18%|█▊ | 2056/11526 [21:27<1:36:59, 1.63it/s]
{'loss': 0.3311, 'grad_norm': 0.6071382761001587, 'learning_rate': 9.81417765931925e-06, 'epoch': 0.54}
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18%|█▊ | 2057/11526 [21:27<1:37:01, 1.63it/s]
{'loss': 0.2855, 'grad_norm': 0.6262412071228027, 'learning_rate': 9.813768440315737e-06, 'epoch': 0.54}
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18%|█▊ | 2058/11526 [21:28<1:36:58, 1.63it/s]
{'loss': 0.2477, 'grad_norm': 0.5312401056289673, 'learning_rate': 9.813358779765993e-06, 'epoch': 0.54}
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18%|█▊ | 2059/11526 [21:29<1:36:53, 1.63it/s]
{'loss': 0.267, 'grad_norm': 0.5859576463699341, 'learning_rate': 9.812948677707597e-06, 'epoch': 0.54}
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[A{'eval_loss': 0.6976413130760193, 'eval_runtime': 1.9564, 'eval_samples_per_second': 102.227, 'eval_steps_per_second': 6.645, 'epoch': 0.57}
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[A
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[A{'eval_loss': 0.6594894528388977, 'eval_runtime': 1.9556, 'eval_samples_per_second': 102.272, 'eval_steps_per_second': 6.648, 'epoch': 0.78}
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[A{'eval_loss': 0.6406479477882385, 'eval_runtime': 1.955, 'eval_samples_per_second': 102.302, 'eval_steps_per_second': 6.65, 'epoch': 0.88}
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[A
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[A
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[A
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[A
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[A{'eval_loss': 0.5508691668510437, 'eval_runtime': 1.9552, 'eval_samples_per_second': 102.289, 'eval_steps_per_second': 6.649, 'epoch': 1.61}
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[A
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[A
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[A
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[A
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[A
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[A
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[A{'eval_loss': 0.544998049736023, 'eval_runtime': 1.9556, 'eval_samples_per_second': 102.27, 'eval_steps_per_second': 6.648, 'epoch': 2.19}
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[A
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[A
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[A{'eval_loss': 0.5416151285171509, 'eval_runtime': 1.955, 'eval_samples_per_second': 102.301, 'eval_steps_per_second': 6.65, 'epoch': 2.29}
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[A
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[A{'eval_loss': 0.5437502861022949, 'eval_runtime': 1.9541, 'eval_samples_per_second': 102.347, 'eval_steps_per_second': 6.653, 'epoch': 2.34}
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[A
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[A{'eval_loss': 0.5426750183105469, 'eval_runtime': 1.9547, 'eval_samples_per_second': 102.319, 'eval_steps_per_second': 6.651, 'epoch': 2.39}
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[A
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[A
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[A
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[A{'eval_loss': 0.5430423617362976, 'eval_runtime': 1.9526, 'eval_samples_per_second': 102.43, 'eval_steps_per_second': 6.658, 'epoch': 2.55}
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[A
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[A
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[A{'eval_loss': 0.5422788858413696, 'eval_runtime': 1.9606, 'eval_samples_per_second': 102.008, 'eval_steps_per_second': 6.631, 'epoch': 2.65}
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[A
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[A
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[A{'eval_loss': 0.5425940155982971, 'eval_runtime': 1.954, 'eval_samples_per_second': 102.356, 'eval_steps_per_second': 6.653, 'epoch': 2.76}
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[A
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[A
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[A{'eval_loss': 0.5423033833503723, 'eval_runtime': 1.9582, 'eval_samples_per_second': 102.136, 'eval_steps_per_second': 6.639, 'epoch': 2.86}
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[A
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[A{'eval_loss': 0.5424527525901794, 'eval_runtime': 1.9545, 'eval_samples_per_second': 102.33, 'eval_steps_per_second': 6.651, 'epoch': 2.92}
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[A
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[A
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{'loss': 0.162, 'grad_norm': 0.598003089427948, 'learning_rate': 3.302121222126253e-11, 'epoch': 3.0}
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{'loss': 0.1307, 'grad_norm': 0.5674147605895996, 'learning_rate': 2.7746995702737643e-11, 'epoch': 3.0}
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{'loss': 0.1468, 'grad_norm': 0.5455756187438965, 'learning_rate': 2.2931405088133518e-11, 'epoch': 3.0}
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{'loss': 0.1741, 'grad_norm': 0.596160888671875, 'learning_rate': 1.8574440819318918e-11, 'epoch': 3.0}
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{'loss': 0.1459, 'grad_norm': 0.6387988924980164, 'learning_rate': 1.4676103294863907e-11, 'epoch': 3.0}
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{'loss': 0.1856, 'grad_norm': 0.7051814794540405, 'learning_rate': 1.1236392873370528e-11, 'epoch': 3.0}
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100%|█████████▉| 11520/11526 [2:00:33<00:03, 1.62it/s]
{'loss': 0.1848, 'grad_norm': 0.6285011172294617, 'learning_rate': 8.255309870142114e-12, 'epoch': 3.0}
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{'loss': 0.1383, 'grad_norm': 0.5607538819313049, 'learning_rate': 5.732854558848644e-12, 'epoch': 3.0}
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{'loss': 0.1324, 'grad_norm': 0.5816987156867981, 'learning_rate': 3.669027169861394e-12, 'epoch': 3.0}
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100%|█████████▉| 11523/11526 [2:00:35<00:01, 1.62it/s]
{'loss': 0.1592, 'grad_norm': 0.6229835748672485, 'learning_rate': 2.0638278935836142e-12, 'epoch': 3.0}
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{'loss': 0.1288, 'grad_norm': 0.5024412274360657, 'learning_rate': 9.172568765647427e-13, 'epoch': 3.0}
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100%|█████████▉| 11524/11526 [2:00:36<00:01, 1.63it/s]
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{'loss': 0.1519, 'grad_norm': 0.7073336243629456, 'learning_rate': 2.293142242759672e-13, 'epoch': 3.0}
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100%|█████████▉| 11525/11526 [2:00:36<00:00, 1.62it/s]
100%|██████████| 11526/11526 [2:00:37<00:00, 1.62it/s]
{'loss': 0.1441, 'grad_norm': 0.5505287647247314, 'learning_rate': 0.0, 'epoch': 3.0}
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100%|██████████| 11526/11526 [2:00:37<00:00, 1.62it/s]There were missing keys in the checkpoint model loaded: ['lm_head.weight'].
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There were missing keys in the checkpoint model loaded: ['lm_head.weight'].
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||
There were missing keys in the checkpoint model loaded: ['lm_head.weight'].
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||
There were missing keys in the checkpoint model loaded: ['lm_head.weight'].
|
||
{'train_runtime': 7255.879, 'train_samples_per_second': 25.41, 'train_steps_per_second': 1.589, 'train_loss': 0.23182308609281774, 'epoch': 3.0}
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100%|██████████| 11526/11526 [2:00:55<00:00, 1.62it/s]
100%|██████████| 11526/11526 [2:00:55<00:00, 1.59it/s]
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[1;34mwandb[0m:
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[1;34mwandb[0m: You can sync this run to the cloud by running:
|
||
[1;34mwandb[0m: [1mwandb sync /data02/users/lz/code/game/cpm/repos2/11/training/wandb/offline-run-20241111_125651-umlr61gt[0m
|
||
[1;34mwandb[0m: Find logs at: [1;35mwandb/offline-run-20241111_125651-umlr61gt/logs[0m
|