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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: 1.8528 |
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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: 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: 16 |
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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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| 4.6193 | 0.9231 | 3 | 4.1003 | |
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| 4.3201 | 1.8462 | 6 | 3.8086 | |
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| 3.9755 | 2.7692 | 9 | 3.5351 | |
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| 2.7376 | 4.0 | 13 | 3.1911 | |
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| 3.3753 | 4.9231 | 16 | 2.9601 | |
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| 3.0944 | 5.8462 | 19 | 2.7577 | |
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| 2.8686 | 6.7692 | 22 | 2.5897 | |
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| 2.0042 | 8.0 | 26 | 2.3885 | |
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| 2.4887 | 8.9231 | 29 | 2.2642 | |
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| 2.3262 | 9.8462 | 32 | 2.1536 | |
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| 2.2109 | 10.7692 | 35 | 2.0500 | |
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| 1.5436 | 12.0 | 39 | 1.9406 | |
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| 1.9916 | 12.9231 | 42 | 1.8923 | |
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| 1.9223 | 13.8462 | 45 | 1.8639 | |
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| 1.4561 | 14.7692 | 48 | 1.8528 | |
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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 |
