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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: results |
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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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# results |
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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 800 examples from OpenOrca. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3820 |
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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: 0.0001 |
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- train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 50 |
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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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| 1.6764 | 0.25 | 50 | 1.5037 | |
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| 1.3936 | 0.5 | 100 | 1.4108 | |
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| 1.4016 | 0.75 | 150 | 1.3547 | |
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| 1.3152 | 1.0 | 200 | 1.3373 | |
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| 1.0919 | 1.25 | 250 | 1.3368 | |
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| 1.1336 | 1.5 | 300 | 1.3290 | |
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| 1.0541 | 1.75 | 350 | 1.3222 | |
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| 1.0844 | 2.0 | 400 | 1.3174 | |
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| 0.8657 | 2.25 | 450 | 1.3790 | |
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| 0.8606 | 2.5 | 500 | 1.3779 | |
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| 0.8483 | 2.75 | 550 | 1.3824 | |
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| 0.8258 | 3.0 | 600 | 1.3820 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
