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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-ft5 |
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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-ft5 |
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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: 4.1985 |
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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: 1e-05 |
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- train_batch_size: 42 |
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- eval_batch_size: 42 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 168 |
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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: 15 |
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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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| 2.1584 | 1.0 | 1 | 4.2318 | |
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| 2.0801 | 2.0 | 2 | 4.2316 | |
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| 2.1457 | 3.0 | 3 | 4.2286 | |
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| 2.1504 | 4.0 | 4 | 4.2247 | |
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| 2.1208 | 5.0 | 5 | 4.2208 | |
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| 2.1805 | 6.0 | 6 | 4.2169 | |
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| 2.1169 | 7.0 | 7 | 4.2133 | |
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| 2.1038 | 8.0 | 8 | 4.2099 | |
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| 2.0787 | 9.0 | 9 | 4.2075 | |
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| 2.1592 | 10.0 | 10 | 4.2048 | |
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| 2.092 | 11.0 | 11 | 4.2030 | |
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| 2.1537 | 12.0 | 12 | 4.2012 | |
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| 2.1021 | 13.0 | 13 | 4.1998 | |
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| 2.0997 | 14.0 | 14 | 4.1990 | |
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| 2.0994 | 15.0 | 15 | 4.1985 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
