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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: demo-dog |
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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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# demo-dog |
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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: 0.5062 |
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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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| 4.6644 | 0.9655 | 7 | 3.6989 | |
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| 3.1964 | 1.9310 | 14 | 2.5593 | |
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| 2.1512 | 2.8966 | 21 | 1.4979 | |
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| 1.1446 | 4.0 | 29 | 0.7417 | |
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| 0.9436 | 4.9655 | 36 | 0.6006 | |
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| 0.8548 | 5.9310 | 43 | 0.5513 | |
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| 0.8057 | 6.8966 | 50 | 0.5254 | |
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| 0.6854 | 8.0 | 58 | 0.5114 | |
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| 0.7709 | 8.9655 | 65 | 0.5069 | |
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| 0.7337 | 9.6552 | 70 | 0.5062 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
