Model save
Browse files- README.md +1 -1
- all_results.json +5 -5
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- runs/Feb03_13-28-29_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-84rg227/events.out.tfevents.1738589574.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-84rg227.97164.0 +3 -0
- runs/Feb03_19-31-47_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-6ckztwz/events.out.tfevents.1738611496.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-6ckztwz.6260.0 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +2 -2
- tokenizer_config.json +47 -0
- train_results.json +5 -5
- trainer_state.json +156 -156
- 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/jerome-ramos-20/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/jerome-ramos-20/huggingface/runs/qm0bt6vo)
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This model was trained with SFT.
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all_results.json
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"eval_samples": 2071,
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"eval_steps_per_second": 2.725,
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"total_flos": 1.
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"train_loss": 0.
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"train_runtime":
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"train_steps_per_second": 0.
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}
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"eval_samples": 2071,
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"total_flos": 1.7115790489220547e+18,
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"train_loss": 0.861595592175164,
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"train_runtime": 2353.9448,
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"train_samples": 46269,
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"train_samples_per_second": 19.656,
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"train_steps_per_second": 0.153
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}
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model-00001-of-00004.safetensors
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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