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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-v0.1-GPTQ |
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model-index: |
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- name: mistral-7b-nli_cot_qkv |
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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-nli_cot_qkv |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7749 |
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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: 8 |
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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: 12 |
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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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| 0.426 | 0.9998 | 1196 | 0.4255 | |
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| 0.3664 | 1.9996 | 2392 | 0.4365 | |
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| 0.3221 | 2.9994 | 3588 | 0.4455 | |
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| 0.2804 | 4.0 | 4785 | 0.4577 | |
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| 0.2403 | 4.9998 | 5981 | 0.4719 | |
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| 0.2001 | 5.9996 | 7177 | 0.4948 | |
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| 0.1643 | 6.9994 | 8373 | 0.5278 | |
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| 0.1305 | 8.0 | 9570 | 0.5634 | |
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| 0.1011 | 8.9998 | 10766 | 0.6095 | |
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| 0.0768 | 9.9996 | 11962 | 0.6621 | |
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| 0.0577 | 10.9994 | 13158 | 0.7225 | |
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| 0.0445 | 11.9975 | 14352 | 0.7749 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
