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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: legal-mistral |
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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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# legal-mistral |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3540 |
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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: 80 |
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- eval_batch_size: 8 |
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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: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4243 | 0.17 | 10 | 2.5809 | |
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| 2.32 | 0.34 | 20 | 2.5187 | |
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| 2.2652 | 0.52 | 30 | 2.4796 | |
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| 2.2424 | 0.69 | 40 | 2.4498 | |
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| 2.1759 | 0.86 | 50 | 2.4304 | |
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| 2.1698 | 1.03 | 60 | 2.4161 | |
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| 2.1337 | 1.21 | 70 | 2.4035 | |
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| 2.1193 | 1.38 | 80 | 2.3962 | |
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| 2.0928 | 1.55 | 90 | 2.3852 | |
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| 2.1072 | 1.72 | 100 | 2.3763 | |
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| 2.0701 | 1.9 | 110 | 2.3709 | |
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| 2.0584 | 2.07 | 120 | 2.3670 | |
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| 2.0569 | 2.24 | 130 | 2.3638 | |
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| 2.0396 | 2.41 | 140 | 2.3619 | |
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| 2.0406 | 2.59 | 150 | 2.3584 | |
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| 2.0259 | 2.76 | 160 | 2.3552 | |
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| 2.0492 | 2.93 | 170 | 2.3540 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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