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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-Instruct-v0.2 |
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model-index: |
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- name: results |
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results: [] |
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pipeline_tag: text-generation |
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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-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: 0.1935 |
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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: 5 |
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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: 0.03 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6252 | 0.03 | 20 | 0.5953 | |
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| 0.417 | 0.07 | 40 | 0.5440 | |
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| 0.857 | 0.1 | 60 | 0.3897 | |
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| 0.6156 | 0.14 | 80 | 0.3202 | |
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| 0.5295 | 0.17 | 100 | 0.4571 | |
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| 0.4544 | 0.21 | 120 | 0.3307 | |
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| 0.3611 | 0.24 | 140 | 0.3324 | |
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| 0.3134 | 0.28 | 160 | 0.4065 | |
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| 0.3359 | 0.31 | 180 | 0.4316 | |
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| 0.3603 | 0.35 | 200 | 0.4051 | |
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| 0.4473 | 0.38 | 220 | 0.1733 | |
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| 0.4792 | 0.42 | 240 | 0.2714 | |
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| 0.2066 | 0.45 | 260 | 0.2992 | |
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| 0.2047 | 0.49 | 280 | 0.1973 | |
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| 0.1326 | 0.52 | 300 | 0.1935 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
