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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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- generated_from_trainer |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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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: 1.3909 |
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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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| 1.7212 | 0.92 | 3 | 1.5434 | |
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| 1.4475 | 1.85 | 6 | 1.4012 | |
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| 1.3078 | 2.77 | 9 | 1.3524 | |
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| 0.9281 | 4.0 | 13 | 1.3281 | |
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| 1.2403 | 4.92 | 16 | 1.3273 | |
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| 1.2006 | 5.85 | 19 | 1.3225 | |
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| 1.126 | 6.77 | 22 | 1.3246 | |
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| 0.8129 | 8.0 | 26 | 1.3236 | |
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| 1.052 | 8.92 | 29 | 1.3281 | |
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| 1.0153 | 9.85 | 32 | 1.3262 | |
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| 0.9963 | 10.77 | 35 | 1.3315 | |
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| 0.7424 | 12.0 | 39 | 1.3389 | |
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| 0.937 | 12.92 | 42 | 1.3509 | |
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| 0.9203 | 13.85 | 45 | 1.3569 | |
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| 0.8923 | 14.77 | 48 | 1.3796 | |
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| 0.6622 | 16.0 | 52 | 1.3736 | |
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| 0.8592 | 16.92 | 55 | 1.3812 | |
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| 0.8636 | 17.85 | 58 | 1.3903 | |
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| 0.5605 | 18.46 | 60 | 1.3909 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
