Merge branch 'main' of https://osredm.com/p04798526/LLaMA-Factory-Mirror
This commit is contained in:
wql
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{"cur_time": "2024-08-20 06:03:43", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.105}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.662}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.544}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.076}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.668}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.385}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.917}]}
|
||||
{"cur_time": "2024-08-20 06:03:48", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.086}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.609}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.47}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 85.968}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.603}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.373}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.86}]}
|
||||
{"cur_time": "2024-08-20 06:03:53", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.047}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.557}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.434}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 85.979}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.584}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.323}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.841}]}
|
||||
{"cur_time": "2024-08-20 06:03:58", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.047}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.547}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.377}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 85.943}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.59}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.324}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.842}]}
|
||||
{"cur_time": "2024-08-20 06:04:03", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.001}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.506}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.413}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 85.966}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.54}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.257}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.836}]}
|
||||
{"cur_time": "2024-08-20 06:04:08", "all_gpu_status": [{"device": 0, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 94.021}, {"device": 1, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.486}, {"device": 2, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 95.345}, {"device": 3, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 85.986}, {"device": 4, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.52}, {"device": 5, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 89.311}, {"device": 6, "total_mem_GB": 95.5771484375, "used_mem_GB": 0.58502197265625, "powerusage_W": 86.823}]}
|
||||
|
|
@ -0,0 +1,132 @@
|
|||
08/20/2024 05:50:08 - INFO - llamafactory.cli - Initializing distributed tasks at: 127.0.0.1:25478
|
||||
08/20/2024 05:50:13 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:13 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:14 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:15 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.hparams.parser - Process rank: 6, device: cuda:6, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:15 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.hparams.parser - Process rank: 5, device: cuda:5, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:50:15 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.hparams.parser - Process rank: 3, device: cuda:3, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:15 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.hparams.parser - Process rank: 4, device: cuda:4, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:15 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:15 - INFO - llamafactory.hparams.parser - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:16 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
|
||||
08/20/2024 05:50:16 - INFO - llamafactory.hparams.parser - Process rank: 2, device: cuda:2, n_gpu: 1, distributed training: True, compute dtype: torch.bfloat16
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:22 - INFO - llamafactory.data.loader - Loading dataset identity.json...
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
training example:
|
||||
input_ids:
|
||||
[1, 518, 25580, 29962, 7251, 518, 29914, 25580, 29962, 15043, 29991, 306, 626, 8620, 978, 11656, 385, 319, 29902, 20255, 8906, 491, 8620, 8921, 27243, 1128, 508, 306, 6985, 366, 9826, 29973, 2]
|
||||
inputs:
|
||||
<s> [INST] hi [/INST] Hello! I am {{name}}, an AI assistant developed by {{author}}. How can I assist you today?</s>
|
||||
label_ids:
|
||||
[-100, -100, -100, -100, -100, -100, -100, -100, -100, 15043, 29991, 306, 626, 8620, 978, 11656, 385, 319, 29902, 20255, 8906, 491, 8620, 8921, 27243, 1128, 508, 306, 6985, 366, 9826, 29973, 2]
|
||||
labels:
|
||||
Hello! I am {{name}}, an AI assistant developed by {{author}}. How can I assist you today?</s>
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:50:23 - INFO - llamafactory.data.loader - Loading dataset alpaca_en_demo.json...
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.model_utils.misc - Found linear modules: o_proj,k_proj,gate_proj,up_proj,v_proj,down_proj,q_proj
|
||||
08/20/2024 05:51:10 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.model_utils.misc - Found linear modules: gate_proj,k_proj,o_proj,up_proj,down_proj,v_proj,q_proj
|
||||
08/20/2024 05:51:11 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.misc - Found linear modules: q_proj,v_proj,down_proj,gate_proj,k_proj,o_proj,up_proj
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.misc - Found linear modules: gate_proj,v_proj,o_proj,k_proj,down_proj,up_proj,q_proj
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.misc - Found linear modules: up_proj,gate_proj,o_proj,q_proj,down_proj,k_proj,v_proj
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.misc - Found linear modules: o_proj,k_proj,q_proj,down_proj,up_proj,gate_proj,v_proj
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.model_utils.misc - Found linear modules: o_proj,q_proj,gate_proj,up_proj,down_proj,v_proj,k_proj
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
08/20/2024 05:51:15 - INFO - llamafactory.model.loader - trainable params: 19,988,480 || all params: 6,758,404,096 || trainable%: 0.2958
|
||||
{'loss': 1.2, 'grad_norm': 0.21601451933383942, 'learning_rate': 3e-05, 'epoch': 0.34, 'num_input_tokens_seen': 97680}
|
||||
{'loss': 1.1929, 'grad_norm': 0.3155970871448517, 'learning_rate': 6e-05, 'epoch': 0.68, 'num_input_tokens_seen': 190736}
|
||||
{'loss': 1.2289, 'grad_norm': 0.2989441156387329, 'learning_rate': 9e-05, 'epoch': 1.01, 'num_input_tokens_seen': 276880}
|
||||
{'loss': 1.1455, 'grad_norm': 0.42915046215057373, 'learning_rate': 9.987820251299122e-05, 'epoch': 1.35, 'num_input_tokens_seen': 369776}
|
||||
{'loss': 1.0487, 'grad_norm': 0.2830324172973633, 'learning_rate': 9.924038765061042e-05, 'epoch': 1.69, 'num_input_tokens_seen': 461200}
|
||||
{'loss': 1.0015, 'grad_norm': 0.3625435531139374, 'learning_rate': 9.806308479691595e-05, 'epoch': 2.03, 'num_input_tokens_seen': 551424}
|
||||
{'loss': 0.9574, 'grad_norm': 0.22050900757312775, 'learning_rate': 9.635919272833938e-05, 'epoch': 2.37, 'num_input_tokens_seen': 649520}
|
||||
{'loss': 0.9658, 'grad_norm': 0.23838457465171814, 'learning_rate': 9.414737964294636e-05, 'epoch': 2.7, 'num_input_tokens_seen': 742832}
|
||||
{'loss': 0.9311, 'grad_norm': 0.31824183464050293, 'learning_rate': 9.145187862775209e-05, 'epoch': 3.04, 'num_input_tokens_seen': 827888}
|
||||
{'loss': 0.9186, 'grad_norm': 0.22274430096149445, 'learning_rate': 8.83022221559489e-05, 'epoch': 3.38, 'num_input_tokens_seen': 921920}
|
||||
{'loss': 0.9014, 'grad_norm': 0.2516893446445465, 'learning_rate': 8.473291852294987e-05, 'epoch': 3.72, 'num_input_tokens_seen': 1010144}
|
||||
{'loss': 0.8781, 'grad_norm': 0.18256805837154388, 'learning_rate': 8.07830737662829e-05, 'epoch': 4.06, 'num_input_tokens_seen': 1108752}
|
||||
{'loss': 0.882, 'grad_norm': 0.21118617057800293, 'learning_rate': 7.649596321166024e-05, 'epoch': 4.39, 'num_input_tokens_seen': 1206192}
|
||||
{'loss': 0.8807, 'grad_norm': 0.2069379687309265, 'learning_rate': 7.191855733945387e-05, 'epoch': 4.73, 'num_input_tokens_seen': 1294512}
|
||||
{'loss': 0.8613, 'grad_norm': 0.21595001220703125, 'learning_rate': 6.710100716628344e-05, 'epoch': 5.07, 'num_input_tokens_seen': 1386112}
|
||||
{'loss': 0.8721, 'grad_norm': 0.16913726925849915, 'learning_rate': 6.209609477998338e-05, 'epoch': 5.41, 'num_input_tokens_seen': 1478224}
|
||||
{'loss': 0.8438, 'grad_norm': 0.23615054786205292, 'learning_rate': 5.695865504800327e-05, 'epoch': 5.75, 'num_input_tokens_seen': 1576032}
|
||||
{'loss': 0.8324, 'grad_norm': 0.2467828243970871, 'learning_rate': 5.174497483512506e-05, 'epoch': 6.08, 'num_input_tokens_seen': 1670720}
|
||||
{'loss': 0.8344, 'grad_norm': 0.21930496394634247, 'learning_rate': 4.6512176312793736e-05, 'epoch': 6.42, 'num_input_tokens_seen': 1761184}
|
||||
{'loss': 0.7998, 'grad_norm': 0.26676416397094727, 'learning_rate': 4.131759111665349e-05, 'epoch': 6.76, 'num_input_tokens_seen': 1852800}
|
||||
{'loss': 0.8086, 'grad_norm': 0.27332258224487305, 'learning_rate': 3.6218132209150045e-05, 'epoch': 7.1, 'num_input_tokens_seen': 1948992}
|
||||
{'loss': 0.8231, 'grad_norm': 0.22892576456069946, 'learning_rate': 3.12696703292044e-05, 'epoch': 7.44, 'num_input_tokens_seen': 2043936}
|
||||
{'loss': 0.7765, 'grad_norm': 0.27078768610954285, 'learning_rate': 2.6526421860705473e-05, 'epoch': 7.77, 'num_input_tokens_seen': 2135248}
|
||||
{'loss': 0.8021, 'grad_norm': 0.25509998202323914, 'learning_rate': 2.2040354826462668e-05, 'epoch': 8.11, 'num_input_tokens_seen': 2236064}
|
||||
{'loss': 0.7974, 'grad_norm': 0.2659051716327667, 'learning_rate': 1.7860619515673033e-05, 'epoch': 8.45, 'num_input_tokens_seen': 2324464}
|
||||
{'loss': 0.7794, 'grad_norm': 0.27531927824020386, 'learning_rate': 1.4033009983067452e-05, 'epoch': 8.79, 'num_input_tokens_seen': 2416208}
|
||||
{'loss': 0.7567, 'grad_norm': 0.3656441271305084, 'learning_rate': 1.0599462319663905e-05, 'epoch': 9.13, 'num_input_tokens_seen': 2506000}
|
||||
{'loss': 0.8035, 'grad_norm': 0.2913309335708618, 'learning_rate': 7.597595192178702e-06, 'epoch': 9.46, 'num_input_tokens_seen': 2600192}
|
||||
{'loss': 0.7661, 'grad_norm': 0.2591525912284851, 'learning_rate': 5.060297685041659e-06, 'epoch': 9.8, 'num_input_tokens_seen': 2690464}
|
||||
{'loss': 0.7733, 'grad_norm': 0.28467172384262085, 'learning_rate': 3.0153689607045845e-06, 'epoch': 10.14, 'num_input_tokens_seen': 2783632}
|
||||
{'loss': 0.7607, 'grad_norm': 0.2611902952194214, 'learning_rate': 1.4852136862001764e-06, 'epoch': 10.48, 'num_input_tokens_seen': 2881376}
|
||||
{'loss': 0.7535, 'grad_norm': 0.31149354577064514, 'learning_rate': 4.865965629214819e-07, 'epoch': 10.82, 'num_input_tokens_seen': 2965632}
|
||||
{'loss': 0.7747, 'grad_norm': 0.2638636827468872, 'learning_rate': 3.04586490452119e-08, 'epoch': 11.15, 'num_input_tokens_seen': 3056208}
|
||||
{'train_runtime': 176.2337, 'train_samples_per_second': 63.552, 'train_steps_per_second': 0.567, 'train_loss': 0.8875525349378586, 'epoch': 11.27, 'num_input_tokens_seen': 3088432}
|
||||
***** train metrics *****
|
||||
epoch = 11.2676
|
||||
num_input_tokens_seen = 3088432
|
||||
total_flos = 114374223GF
|
||||
train_loss = 0.8876
|
||||
train_runtime = 0:02:56.23
|
||||
train_samples_per_second = 63.552
|
||||
train_steps_per_second = 0.567
|
||||
Figure saved at: ./results/lora_sft/Llama2-7B_2/llama2_lora_sft_1_test_token/training_loss.png
|
||||
08/20/2024 05:54:12 - WARNING - llamafactory.extras.ploting - No metric eval_loss to plot.
|
||||
08/20/2024 05:54:12 - WARNING - llamafactory.extras.ploting - No metric eval_accuracy to plot.
|
||||
***** eval metrics *****
|
||||
epoch = 11.2676
|
||||
eval_loss = 0.9711
|
||||
eval_runtime = 0:00:00.52
|
||||
eval_samples_per_second = 210.469
|
||||
eval_steps_per_second = 15.307
|
||||
num_input_tokens_seen = 3088432
|
||||
|
|
@ -0,0 +1,65 @@
|
|||
---
|
||||
base_model: /home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms
|
||||
library_name: peft
|
||||
license: other
|
||||
tags:
|
||||
- llama-factory
|
||||
- lora
|
||||
- generated_from_trainer
|
||||
model-index:
|
||||
- name: llama2_lora_sft_1_test_token
|
||||
results: []
|
||||
---
|
||||
|
||||
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
||||
should probably proofread and complete it, then remove this comment. -->
|
||||
|
||||
# llama2_lora_sft_1_test_token
|
||||
|
||||
This model is a fine-tuned version of [/home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms](https://huggingface.co//home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms) on the identity and the alpaca_en_demo datasets.
|
||||
It achieves the following results on the evaluation set:
|
||||
- Loss: 0.9711
|
||||
- Num Input Tokens Seen: 3088432
|
||||
|
||||
## Model description
|
||||
|
||||
More information needed
|
||||
|
||||
## Intended uses & limitations
|
||||
|
||||
More information needed
|
||||
|
||||
## Training and evaluation data
|
||||
|
||||
More information needed
|
||||
|
||||
## Training procedure
|
||||
|
||||
### Training hyperparameters
|
||||
|
||||
The following hyperparameters were used during training:
|
||||
- learning_rate: 0.0001
|
||||
- train_batch_size: 2
|
||||
- eval_batch_size: 2
|
||||
- seed: 42
|
||||
- distributed_type: multi-GPU
|
||||
- num_devices: 7
|
||||
- gradient_accumulation_steps: 8
|
||||
- total_train_batch_size: 112
|
||||
- total_eval_batch_size: 14
|
||||
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||
- lr_scheduler_type: cosine
|
||||
- lr_scheduler_warmup_ratio: 0.1
|
||||
- training_steps: 100
|
||||
|
||||
### Training results
|
||||
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.12.0
|
||||
- Transformers 4.43.4
|
||||
- Pytorch 2.4.0+cu121
|
||||
- Datasets 2.20.0
|
||||
- Tokenizers 0.19.1
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "/home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms",
|
||||
"bias": "none",
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 16,
|
||||
"lora_dropout": 0.0,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"r": 8,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"o_proj",
|
||||
"k_proj",
|
||||
"gate_proj",
|
||||
"up_proj",
|
||||
"v_proj",
|
||||
"down_proj",
|
||||
"q_proj"
|
||||
],
|
||||
"task_type": "CAUSAL_LM",
|
||||
"use_dora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
Binary file not shown.
|
|
@ -0,0 +1,3 @@
|
|||
{
|
||||
"<pad>": 32000
|
||||
}
|
||||
|
|
@ -0,0 +1,13 @@
|
|||
{
|
||||
"epoch": 11.267605633802816,
|
||||
"eval_loss": 0.9710721969604492,
|
||||
"eval_runtime": 0.5226,
|
||||
"eval_samples_per_second": 210.469,
|
||||
"eval_steps_per_second": 15.307,
|
||||
"num_input_tokens_seen": 3088432,
|
||||
"total_flos": 1.2280838762790912e+17,
|
||||
"train_loss": 0.8875525349378586,
|
||||
"train_runtime": 176.2337,
|
||||
"train_samples_per_second": 63.552,
|
||||
"train_steps_per_second": 0.567
|
||||
}
|
||||
|
|
@ -0,0 +1,202 @@
|
|||
---
|
||||
base_model: /home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms
|
||||
library_name: peft
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.12.0
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"alpha_pattern": {},
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "/home/user/.cache/modelscope/hub/modelscope/Llama-2-7b-ms",
|
||||
"bias": "none",
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 16,
|
||||
"lora_dropout": 0.0,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": null,
|
||||
"peft_type": "LORA",
|
||||
"r": 8,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"o_proj",
|
||||
"k_proj",
|
||||
"gate_proj",
|
||||
"up_proj",
|
||||
"v_proj",
|
||||
"down_proj",
|
||||
"q_proj"
|
||||
],
|
||||
"task_type": "CAUSAL_LM",
|
||||
"use_dora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
Binary file not shown.
|
|
@ -0,0 +1,3 @@
|
|||
{
|
||||
"<pad>": 32000
|
||||
}
|
||||
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|
|
@ -0,0 +1,30 @@
|
|||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
|
@ -0,0 +1,52 @@
|
|||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32000": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if loop.index0 == 0 and system_message is defined %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '<s>' + '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
|
|
@ -0,0 +1,297 @@
|
|||
{
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 11.267605633802816,
|
||||
"eval_steps": 500,
|
||||
"global_step": 100,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.3380281690140845,
|
||||
"grad_norm": 0.21601451933383942,
|
||||
"learning_rate": 3e-05,
|
||||
"loss": 1.2,
|
||||
"num_input_tokens_seen": 97680,
|
||||
"step": 3
|
||||
},
|
||||
{
|
||||
"epoch": 0.676056338028169,
|
||||
"grad_norm": 0.3155970871448517,
|
||||
"learning_rate": 6e-05,
|
||||
"loss": 1.1929,
|
||||
"num_input_tokens_seen": 190736,
|
||||
"step": 6
|
||||
},
|
||||
{
|
||||
"epoch": 1.0140845070422535,
|
||||
"grad_norm": 0.2989441156387329,
|
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"learning_rate": 9e-05,
|
||||
"loss": 1.2289,
|
||||
"num_input_tokens_seen": 276880,
|
||||
"step": 9
|
||||
},
|
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||||
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||||
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After Width: | Height: | Size: 37 KiB |
Loading…
Reference in New Issue