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LLaMA-Factory-Mirror
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Merge branch 'main' of https://osredm.com/p04798526/LLaMA-Factory-Mirror

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wql 2024-08-21 13:15:59 +08:00
parent 3fdf2cb71a 4e55ae0a1a
commit bd971173c9
6 changed files with 234 additions and 0 deletions
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results/inference/Llama2-7B/llama2_predict_1.log Normal file
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08/18/2024 17:34:57 - INFO - llamafactory.cli - Initializing distributed tasks at: 127.0.0.1:23898
08/18/2024 17:35:04 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:04 - INFO - llamafactory.hparams.parser - Process rank: 6, device: cuda:6, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 4, device: cuda:4, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 5, device: cuda:5, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 3, device: cuda:3, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:05 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:35:05 - INFO - llamafactory.hparams.parser - Process rank: 2, device: cuda:2, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:35:06 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:35:16 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:35:34 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:36:13 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:13 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:13 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:13 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:14 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:14 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:14 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:14 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:14 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:14 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:14 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:14 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:36:14 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:36:14 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.4552
predict_model_preparation_time = 0.0031
predict_rouge-1 = 11.0984
predict_rouge-2 = 3.0446
predict_rouge-l = 5.0312
predict_runtime = 0:01:03.50
predict_samples_per_second = 0.787
predict_steps_per_second = 0.063
08/18/2024 17:37:18 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_1/generated_predictions.jsonl

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08/18/2024 17:42:59 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: None
08/18/2024 17:43:00 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:43:05 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:43:34 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:43:34 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.2952
predict_model_preparation_time = 0.0029
predict_rouge-1 = 12.8381
predict_rouge-2 = 3.2551
predict_rouge-l = 5.1021
predict_runtime = 0:06:01.55
predict_samples_per_second = 0.138
predict_steps_per_second = 0.069
08/18/2024 17:49:36 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_1_single/generated_predictions.jsonl

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results/inference/Llama2-7B/llama2_predict_2.log Normal file
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08/18/2024 17:37:25 - INFO - llamafactory.cli - Initializing distributed tasks at: 127.0.0.1:28639
08/18/2024 17:37:31 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:31 - INFO - llamafactory.hparams.parser - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:32 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:32 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:32 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:32 - INFO - llamafactory.hparams.parser - Process rank: 6, device: cuda:6, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:33 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:33 - INFO - llamafactory.hparams.parser - Process rank: 2, device: cuda:2, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:33 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:33 - INFO - llamafactory.hparams.parser - Process rank: 3, device: cuda:3, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:33 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:33 - INFO - llamafactory.hparams.parser - Process rank: 4, device: cuda:4, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:33 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:37:33 - INFO - llamafactory.hparams.parser - Process rank: 5, device: cuda:5, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:37:33 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:38:38 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:38:44 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:39:22 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:22 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:23 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:23 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:25 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:25 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:25 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:25 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:25 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:25 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:25 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:25 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:39:25 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:39:25 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.4552
predict_model_preparation_time = 0.003
predict_rouge-1 = 11.0984
predict_rouge-2 = 3.0446
predict_rouge-l = 5.0312
predict_runtime = 0:01:03.40
predict_samples_per_second = 0.789
predict_steps_per_second = 0.063
08/18/2024 17:40:28 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_2/generated_predictions.jsonl

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08/18/2024 17:49:41 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: None
08/18/2024 17:49:42 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:49:47 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:50:16 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:50:16 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.2952
predict_model_preparation_time = 0.003
predict_rouge-1 = 12.8381
predict_rouge-2 = 3.2551
predict_rouge-l = 5.1021
predict_runtime = 0:06:01.42
predict_samples_per_second = 0.138
predict_steps_per_second = 0.069
08/18/2024 17:56:18 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_2_single/generated_predictions.jsonl

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results/inference/Llama2-7B/llama2_predict_3.log Normal file
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08/18/2024 17:40:35 - INFO - llamafactory.cli - Initializing distributed tasks at: 127.0.0.1:24151
08/18/2024 17:40:42 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:42 - INFO - llamafactory.hparams.parser - Process rank: 2, device: cuda:2, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 5, device: cuda:5, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 6, device: cuda:6, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 4, device: cuda:4, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:43 - WARNING - llamafactory.hparams.parser - `ddp_find_unused_parameters` needs to be set as False for LoRA in DDP training.
08/18/2024 17:40:43 - INFO - llamafactory.hparams.parser - Process rank: 3, device: cuda:3, n_gpu: 1, distributed training: True, compute dtype: None
08/18/2024 17:40:44 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
08/18/2024 17:40:54 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:09 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:48 - INFO - llamafactory.model.loader - all params: 6,738,415,616
08/18/2024 17:41:49 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:41:49 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.4552
predict_model_preparation_time = 0.0031
predict_rouge-1 = 11.0984
predict_rouge-2 = 3.0446
predict_rouge-l = 5.0312
predict_runtime = 0:01:03.96
predict_samples_per_second = 0.782
predict_steps_per_second = 0.063
08/18/2024 17:42:52 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_3/generated_predictions.jsonl

20
results/inference/Llama2-7B/llama2_predict_3_single.log Normal file
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@ -0,0 +1,20 @@
08/18/2024 17:56:23 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: None
08/18/2024 17:56:24 - INFO - llamafactory.data.loader - Loading dataset llamafactory/alpaca_gpt4_zh...
eval example:
input_ids:
[1, 518, 25580, 29962, 29871, 30982, 31695, 31863, 31577, 30210, 30457, 30502, 31302, 30858, 30267, 518, 29914, 25580, 29962]
inputs:
<s> [INST] 保持健康的三个提示。 [/INST]
08/18/2024 17:56:29 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
08/18/2024 17:56:58 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
08/18/2024 17:56:58 - INFO - llamafactory.model.loader - all params: 6,738,415,616
***** predict metrics *****
predict_bleu-4 = 1.2952
predict_model_preparation_time = 0.003
predict_rouge-1 = 12.8381
predict_rouge-2 = 3.2551
predict_rouge-l = 5.1021
predict_runtime = 0:06:01.71
predict_samples_per_second = 0.138
predict_steps_per_second = 0.069
08/18/2024 18:03:00 - INFO - llamafactory.train.sft.trainer - Saving prediction results to ./results/inference/Llama2-7B/llama2_predict_3_single/generated_predictions.jsonl