Model save
Browse files- README.md +1 -1
- all_results.json +10 -5
- eval_results.json +5 -6
- model.safetensors +2 -2
- train_results.json +5 -5
- trainer_state.json +21 -13
- training_args.bin +1 -1
README.md
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alicogniai-cognichip/huggingface/runs/
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This model was trained with SFT.
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alicogniai-cognichip/huggingface/runs/ugrxdaei)
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This model was trained with SFT.
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all_results.json
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"train_samples": 1097,
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{
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"eval_loss": 0.2394731640815735,
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"eval_runtime": 0.9108,
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"eval_samples": 843,
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"eval_samples_per_second": 59.289,
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"eval_steps_per_second": 2.196,
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"total_flos": 3345047902748672.0,
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"train_loss": 0.18449299203024971,
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"train_runtime": 21.9388,
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"train_samples": 1097,
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"train_samples_per_second": 3.555,
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"train_steps_per_second": 0.41
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}
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eval_results.json
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"eval_steps_per_second": 5.007
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"eval_loss": 0.2394731640815735,
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"eval_samples": 843,
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"eval_samples_per_second": 59.289,
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"eval_steps_per_second": 2.196
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}
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model.safetensors
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train_results.json
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"train_samples_per_second": 3.555,
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"train_steps_per_second": 0.41
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trainer_state.json
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"learning_rate": 1e-05,
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training_args.bin
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