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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: 3.2153 |
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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: 10 |
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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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| 8.5479 | 0.7273 | 2 | 5.6143 | |
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| 5.2134 | 1.8182 | 5 | 4.9622 | |
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| 4.42 | 2.9091 | 8 | 4.1683 | |
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| 3.7165 | 4.0 | 11 | 3.7391 | |
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| 5.0148 | 4.7273 | 13 | 3.5272 | |
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| 3.0975 | 5.8182 | 16 | 3.3150 | |
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| 2.976 | 6.9091 | 19 | 3.2248 | |
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| 2.3761 | 7.2727 | 20 | 3.2153 | |
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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+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
