Training in progress, step 1000
Browse files- model.safetensors +1 -1
- runs/Jan18_01-20-04_455f56c2d2db/events.out.tfevents.1705540806.455f56c2d2db.26.1 +2 -2
- wandb/debug-internal.log +42 -0
- wandb/run-20240118_004236-6kmvcnsc/files/output.log +3 -0
- wandb/run-20240118_004236-6kmvcnsc/files/wandb-summary.json +1 -1
- wandb/run-20240118_004236-6kmvcnsc/logs/debug-internal.log +42 -0
- wandb/run-20240118_004236-6kmvcnsc/run-6kmvcnsc.wandb +2 -2
model.safetensors
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runs/Jan18_01-20-04_455f56c2d2db/events.out.tfevents.1705540806.455f56c2d2db.26.1
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wandb/run-20240118_004236-6kmvcnsc/files/output.log
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Accuracy for history equal 6 is 14.285714285714285
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Accuracy for history equal 7 is 12.121212121212121
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/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
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Accuracy for history equal 6 is 14.285714285714285
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warnings.warn('Was asked to gather along dimension 0, but all '
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wandb/run-20240118_004236-6kmvcnsc/files/wandb-summary.json
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{"train/loss": 0.5876, "train/learning_rate": 4.615384615384616e-06, "train/epoch": 76.92, "train/global_step": 1000, "_timestamp": 1705540970.0977304, "_runtime": 2413.285456418991, "_step": 7, "train/train_runtime": 481.0951, "train/train_samples_per_second": 85.638, "train/train_steps_per_second": 5.404, "train/total_flos": 532735580432880.0, "train/train_loss": 1.8117729509793794}
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wandb/run-20240118_004236-6kmvcnsc/run-6kmvcnsc.wandb
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