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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: Finetune-test4 |
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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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# Finetune-test4 |
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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: 1.1223 |
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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: 20 |
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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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| 0.767 | 0.9956 | 56 | 0.5333 | |
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| 0.4313 | 1.9911 | 112 | 0.4449 | |
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| 0.3107 | 2.9867 | 168 | 0.4640 | |
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| 0.2198 | 4.0 | 225 | 0.5196 | |
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| 0.1633 | 4.9956 | 281 | 0.5811 | |
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| 0.1209 | 5.9911 | 337 | 0.6468 | |
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| 0.0944 | 6.9867 | 393 | 0.6891 | |
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| 0.0745 | 8.0 | 450 | 0.7297 | |
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| 0.064 | 8.9956 | 506 | 0.7844 | |
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| 0.0557 | 9.9911 | 562 | 0.8384 | |
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| 0.0489 | 10.9867 | 618 | 0.8632 | |
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| 0.0433 | 12.0 | 675 | 0.9223 | |
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| 0.0413 | 12.9956 | 731 | 0.9526 | |
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| 0.0389 | 13.9911 | 787 | 0.9552 | |
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| 0.0375 | 14.9867 | 843 | 1.0303 | |
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| 0.0355 | 16.0 | 900 | 1.0489 | |
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| 0.0355 | 16.9956 | 956 | 1.0804 | |
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| 0.0347 | 17.9911 | 1012 | 1.0983 | |
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| 0.0341 | 18.9867 | 1068 | 1.1147 | |
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| 0.0328 | 19.9111 | 1120 | 1.1223 | |
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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 |
