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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: recogs_mistral_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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# recogs_mistral_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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7522 |
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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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| 7.1516 | 0.96 | 6 | 6.8988 | |
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| 6.5638 | 1.92 | 12 | 6.3491 | |
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| 6.0302 | 2.88 | 18 | 5.7975 | |
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| 4.7136 | 4.0 | 25 | 5.3152 | |
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| 5.0991 | 4.96 | 31 | 5.0892 | |
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| 4.7721 | 5.92 | 37 | 4.9895 | |
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| 4.6138 | 6.88 | 43 | 4.8591 | |
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| 3.7808 | 8.0 | 50 | 4.7853 | |
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| 4.3257 | 8.96 | 56 | 4.7611 | |
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| 3.6388 | 9.6 | 60 | 4.7522 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.37.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
