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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: mistral-7b-Javelin-small |
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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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# mistral-7b-Javelin-small |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2137 |
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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: 0.0002 |
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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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- training_steps: 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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| 2.3516 | 0.07 | 1 | 2.0247 | |
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| 2.0225 | 0.14 | 2 | 1.8721 | |
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| 1.7928 | 0.21 | 3 | 1.8193 | |
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| 1.7108 | 0.29 | 4 | 1.7804 | |
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| 1.6954 | 0.36 | 5 | 1.7180 | |
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| 1.6487 | 0.43 | 6 | 1.6507 | |
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| 1.4139 | 0.5 | 7 | 1.5918 | |
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| 1.4606 | 0.57 | 8 | 1.5408 | |
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| 1.3855 | 0.64 | 9 | 1.5004 | |
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| 1.4993 | 0.71 | 10 | 1.4576 | |
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| 1.3484 | 0.79 | 11 | 1.4155 | |
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| 1.6875 | 0.86 | 12 | 1.3773 | |
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| 1.2003 | 0.93 | 13 | 1.3420 | |
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| 1.4851 | 1.0 | 14 | 1.3123 | |
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| 1.5295 | 1.07 | 15 | 1.2891 | |
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| 1.0738 | 1.14 | 16 | 1.2648 | |
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| 1.2737 | 1.21 | 17 | 1.2451 | |
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| 1.2225 | 1.29 | 18 | 1.2304 | |
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| 1.0444 | 1.36 | 19 | 1.2194 | |
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| 1.0923 | 1.43 | 20 | 1.2137 | |
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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 2.0.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
