Training in progress, epoch 2
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 +23 -0
- wandb/run-20240307_033604-u9myy8y3/files/config.yaml +44 -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 +23 -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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/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.
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{"train/loss": 1.6989, "train/grad_norm": 9.77726936340332, "train/learning_rate": 1.2064516129032259e-05, "train/epoch": 2.0, "train/global_step": 124, "_timestamp": 1709782657.9073257, "_runtime": 93.89001870155334, "_step": 3, "eval/loss": 1.758449912071228, "eval/accuracy": 0.36363636363636365, "eval/precision": 0.19529933481152995, "eval/recall": 0.36363636363636365, "eval/f1": 0.24694214876033058, "eval/runtime": 1.1141, "eval/samples_per_second": 49.368, "eval/steps_per_second": 6.283}
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