End of training
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- final_checkpoint/model-00001-of-00003.safetensors +1 -1
- final_checkpoint/model-00002-of-00003.safetensors +1 -1
- final_checkpoint/model-00003-of-00003.safetensors +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- tokenizer.json +1 -1
- training_args.bin +1 -1
README.md
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- sft
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model-index:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- sft
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model-index:
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- name: UTI2_M2_200steps_1e7rate_SFT
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# UTI2_M2_200steps_1e7rate_SFT
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0381
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.6274 | 0.3333 | 25 | 2.6112 |
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| 2.4866 | 0.6667 | 50 | 2.4091 |
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| 2.1962 | 1.0 | 75 | 1.9992 |
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| 1.5437 | 1.3333 | 100 | 1.3079 |
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| 1.0688 | 1.6667 | 125 | 1.0635 |
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| 0.9875 | 2.0 | 150 | 1.0426 |
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| 1.0431 | 2.3333 | 175 | 1.0379 |
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| 1.0727 | 2.6667 | 200 | 1.0381 |
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### Framework versions
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final_checkpoint/model-00001-of-00003.safetensors
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