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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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- trl |
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- sft |
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- generated_from_trainer |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-AWQ |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-1epochs |
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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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# Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-1epochs |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-AWQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-AWQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5170 |
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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: 0.001 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 10 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.2685 | 10 | 1.0938 | |
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| 1.6324 | 0.5369 | 20 | 0.6579 | |
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| 1.6324 | 0.8054 | 30 | 0.5170 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
