Training in progress, epoch 5
Browse files- model.safetensors +1 -1
- runs/Mar07_03-35-46_8bb175de6f67/events.out.tfevents.1709782548.8bb175de6f67.34.0 +2 -2
- wandb/debug-internal.log +36 -0
- wandb/run-20240307_033604-u9myy8y3/files/config.yaml +20 -0
- wandb/run-20240307_033604-u9myy8y3/files/output.log +2 -0
- wandb/run-20240307_033604-u9myy8y3/files/wandb-summary.json +1 -1
- wandb/run-20240307_033604-u9myy8y3/logs/debug-internal.log +36 -0
- wandb/run-20240307_033604-u9myy8y3/run-u9myy8y3.wandb +0 -0
model.safetensors
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runs/Mar07_03-35-46_8bb175de6f67/events.out.tfevents.1709782548.8bb175de6f67.34.0
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wandb/debug-internal.log
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wandb/run-20240307_033604-u9myy8y3/files/config.yaml
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wandb/run-20240307_033604-u9myy8y3/files/output.log
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_warn_prf(average, modifier, msg_start, len(result))
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
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wandb/run-20240307_033604-u9myy8y3/files/wandb-summary.json
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{"train/loss": 1.
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{"train/loss": 1.5273, "train/grad_norm": 13.581315994262695, "train/learning_rate": 1.2903225806451614e-07, "train/epoch": 5.0, "train/global_step": 310, "_timestamp": 1709782768.4354718, "_runtime": 204.41816473007202, "_step": 10, "eval/loss": 1.7777334451675415, "eval/accuracy": 0.36363636363636365, "eval/precision": 0.246951871657754, "eval/recall": 0.36363636363636365, "eval/f1": 0.2844291976367448, "eval/runtime": 1.1087, "eval/samples_per_second": 49.61, "eval/steps_per_second": 6.314, "train/train_runtime": 220.2648, "train/train_samples_per_second": 11.146, "train/train_steps_per_second": 1.407, "train/total_flos": 645966638976000.0, "train/train_loss": 1.648285896547379}
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