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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: lc_full_balanced |
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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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# lc_full_balanced |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5766 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6135 | 1.0 | 282 | 1.5535 | |
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| 1.7292 | 2.0 | 564 | 1.5380 | |
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| 1.502 | 3.0 | 846 | 1.5312 | |
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| 1.5672 | 4.0 | 1128 | 1.5347 | |
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| 1.3714 | 5.0 | 1410 | 1.5365 | |
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| 1.3268 | 6.0 | 1692 | 1.5415 | |
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| 1.6069 | 7.0 | 1974 | 1.5425 | |
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| 1.4057 | 8.0 | 2256 | 1.5483 | |
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| 1.3989 | 9.0 | 2538 | 1.5578 | |
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| 1.6766 | 10.0 | 2820 | 1.5601 | |
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| 1.4027 | 11.0 | 3102 | 1.5673 | |
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| 1.3554 | 12.0 | 3384 | 1.5703 | |
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| 1.3135 | 13.0 | 3666 | 1.5729 | |
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| 1.2954 | 14.0 | 3948 | 1.5745 | |
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| 1.2543 | 15.0 | 4230 | 1.5758 | |
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| 1.4603 | 16.0 | 4512 | 1.5763 | |
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| 1.2734 | 17.0 | 4794 | 1.5765 | |
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| 1.3247 | 18.0 | 5076 | 1.5764 | |
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| 1.2645 | 19.0 | 5358 | 1.5769 | |
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| 1.376 | 20.0 | 5640 | 1.5766 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
