Commit
•
6660cc4
1
Parent(s):
409a825
Training in progress, step 200
Browse files- runs/Apr26_15-48-43_ip-26-0-160-225/events.out.tfevents.1714147034.ip-26-0-160-225.711598.0 +2 -2
- wandb/debug-internal.log +166 -0
- wandb/run-20240426_155715-vljs8xzo/files/output.log +80 -0
- wandb/run-20240426_155715-vljs8xzo/files/wandb-summary.json +1 -1
- wandb/run-20240426_155715-vljs8xzo/logs/debug-internal.log +166 -0
- wandb/run-20240426_155715-vljs8xzo/run-vljs8xzo.wandb +0 -0
runs/Apr26_15-48-43_ip-26-0-160-225/events.out.tfevents.1714147034.ip-26-0-160-225.711598.0
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wandb/debug-internal.log
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CHANGED
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{'eval_loss': 0.6759119629859924, 'eval_runtime': 8.2733, 'eval_samples_per_second': 241.742, 'eval_steps_per_second': 3.868, 'eval_rewards/chosen': 0.0017230990342795849, 'eval_rewards/rejected': -0.03281649947166443, 'eval_rewards/accuracies': 0.62890625, 'eval_rewards/margins': 0.0345395989716053, 'eval_logps/rejected': -407.8036804199219, 'eval_logps/chosen': -423.0196533203125, 'eval_logits/rejected': -3.2565112113952637, 'eval_logits/chosen': -3.313567638397217, 'epoch': 0.21}
|
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[INFO|modeling_utils.py:2598] 2024-04-26 15:59:47,330 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 2 checkpoint shards. You can find where each parameters has been saved in the index located at ./checkpoint-100/model.safetensors.index.json.
|
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[INFO|tokenization_utils_base.py:2488] 2024-04-26 15:59:47,344 >> tokenizer config file saved in ./checkpoint-100/tokenizer_config.json
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{'eval_loss': 0.6759119629859924, 'eval_runtime': 8.2733, 'eval_samples_per_second': 241.742, 'eval_steps_per_second': 3.868, 'eval_rewards/chosen': 0.0017230990342795849, 'eval_rewards/rejected': -0.03281649947166443, 'eval_rewards/accuracies': 0.62890625, 'eval_rewards/margins': 0.0345395989716053, 'eval_logps/rejected': -407.8036804199219, 'eval_logps/chosen': -423.0196533203125, 'eval_logits/rejected': -3.2565112113952637, 'eval_logits/chosen': -3.313567638397217, 'epoch': 0.21}
|
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[INFO|modeling_utils.py:2598] 2024-04-26 15:59:47,330 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 2 checkpoint shards. You can find where each parameters has been saved in the index located at ./checkpoint-100/model.safetensors.index.json.
|
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[INFO|tokenization_utils_base.py:2488] 2024-04-26 15:59:47,344 >> tokenizer config file saved in ./checkpoint-100/tokenizer_config.json
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[INFO|tokenization_utils_base.py:2497] 2024-04-26 15:59:47,384 >> Special tokens file saved in ./checkpoint-100/special_tokens_map.json
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[INFO|tokenization_utils_base.py:2488] 2024-04-26 16:00:07,103 >> tokenizer config file saved in ./tokenizer_config.json
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[INFO|tokenization_utils_base.py:2497] 2024-04-26 16:00:07,105 >> Special tokens file saved in ./special_tokens_map.json
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42%|████▏ | 200/478 [04:54<05:52, 1.27s/it][INFO|trainer.py:3614] 2024-04-26 16:02:14,470 >> ***** Running Evaluation *****
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[INFO|configuration_utils.py:471] 2024-04-26 16:02:22,770 >> Configuration saved in ./checkpoint-200/config.json
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[INFO|configuration_utils.py:697] 2024-04-26 16:02:22,773 >> Configuration saved in ./checkpoint-200/generation_config.json
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{'eval_loss': 0.6533502340316772, 'eval_runtime': 8.2763, 'eval_samples_per_second': 241.653, 'eval_steps_per_second': 3.866, 'eval_rewards/chosen': -0.06664139777421951, 'eval_rewards/rejected': -0.16173213720321655, 'eval_rewards/accuracies': 0.64453125, 'eval_rewards/margins': 0.09509073942899704, 'eval_logps/rejected': -420.6952209472656, 'eval_logps/chosen': -429.85614013671875, 'eval_logits/rejected': -3.2240023612976074, 'eval_logits/chosen': -3.2767982482910156, 'epoch': 0.42}
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[INFO|modeling_utils.py:2598] 2024-04-26 16:02:32,167 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 2 checkpoint shards. You can find where each parameters has been saved in the index located at ./checkpoint-200/model.safetensors.index.json.
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