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--- |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: shawgpt-ft |
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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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# shawgpt-ft |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3256 |
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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: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 2 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 4.595 | 0.9231 | 3 | 3.9759 | |
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| 4.0506 | 1.8462 | 6 | 3.4371 | |
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| 3.4359 | 2.7692 | 9 | 2.9322 | |
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| 2.1831 | 4.0 | 13 | 2.4351 | |
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| 2.4838 | 4.9231 | 16 | 2.1189 | |
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| 2.0545 | 5.8462 | 19 | 1.8192 | |
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| 1.7214 | 6.7692 | 22 | 1.6274 | |
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| 1.1606 | 8.0 | 26 | 1.4483 | |
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| 1.4113 | 8.9231 | 29 | 1.4009 | |
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| 1.3405 | 9.8462 | 32 | 1.3765 | |
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| 1.3347 | 10.7692 | 35 | 1.3599 | |
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| 0.9488 | 12.0 | 39 | 1.3411 | |
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| 1.2643 | 12.9231 | 42 | 1.3325 | |
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| 1.2198 | 13.8462 | 45 | 1.3287 | |
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| 1.2212 | 14.7692 | 48 | 1.3284 | |
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| 0.9143 | 16.0 | 52 | 1.3271 | |
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| 1.1902 | 16.9231 | 55 | 1.3265 | |
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| 1.173 | 17.8462 | 58 | 1.3258 | |
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| 0.8301 | 18.4615 | 60 | 1.3256 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
