Model save
Browse files- README.md +12 -6
- adapter_model.safetensors +1 -1
- all_results.json +10 -10
- eval_results.json +5 -5
- train_results.json +6 -6
- trainer_state.json +590 -600
README.md
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---
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base_model: hllj/mistral-vi-math
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tags:
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- generated_from_trainer
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model-index:
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- name: sft-mistral-v1-clean-valid
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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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# sft-mistral-v1-clean-valid
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This model is a fine-tuned version of [hllj/mistral-vi-math](https://huggingface.co/hllj/mistral-vi-math) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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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- Tokenizers 0.15.0
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---
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base_model: hllj/mistral-vi-math
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: sft-mistral-v1-clean-valid
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results: []
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library_name: peft
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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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# sft-mistral-v1-clean-valid
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This model is a fine-tuned version of [hllj/mistral-vi-math](https://huggingface.co/hllj/mistral-vi-math) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5101
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.2676 | 1.05 | 1000 | 0.5086 |
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### Framework versions
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- PEFT 0.5.0
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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adapter_model.safetensors
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size 872450448
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