Training in progress, epoch 4
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 +27 -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 +27 -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/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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_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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_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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wandb/run-20240307_033604-u9myy8y3/files/wandb-summary.json
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{"train/loss": 1.5588, "train/grad_norm": 11.676558494567871, "train/learning_rate": 4.064516129032259e-06, "train/epoch": 4.0, "train/global_step": 248, "_timestamp": 1709782727.9843094, "_runtime": 163.96700239181519, "_step": 7, "eval/loss": 1.772017240524292, "eval/accuracy": 0.38181818181818183, "eval/precision": 0.25703185703185705, "eval/recall": 0.38181818181818183, "eval/f1": 0.29505234159779614, "eval/runtime": 1.1221, "eval/samples_per_second": 49.017, "eval/steps_per_second": 6.238}
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