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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: brevity_ss-promt_e30 |
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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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# brevity_ss-promt_e30 |
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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: 0.4920 |
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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: 30 |
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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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| 3.9164 | 0.8 | 2 | 3.1402 | |
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| 2.3902 | 2.0 | 5 | 2.6152 | |
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| 3.053 | 2.8 | 7 | 2.3220 | |
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| 1.7893 | 4.0 | 10 | 1.9873 | |
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| 2.3626 | 4.8 | 12 | 1.8054 | |
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| 1.3909 | 6.0 | 15 | 1.5493 | |
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| 1.8073 | 6.8 | 17 | 1.3868 | |
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| 1.0338 | 8.0 | 20 | 1.1445 | |
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| 1.2723 | 8.8 | 22 | 0.9763 | |
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| 0.6819 | 10.0 | 25 | 0.7926 | |
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| 0.8371 | 10.8 | 27 | 0.7085 | |
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| 0.4868 | 12.0 | 30 | 0.6329 | |
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| 0.6522 | 12.8 | 32 | 0.5975 | |
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| 0.4052 | 14.0 | 35 | 0.5653 | |
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| 0.5732 | 14.8 | 37 | 0.5482 | |
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| 0.3641 | 16.0 | 40 | 0.5303 | |
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| 0.5239 | 16.8 | 42 | 0.5213 | |
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| 0.3372 | 18.0 | 45 | 0.5101 | |
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| 0.4896 | 18.8 | 47 | 0.5041 | |
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| 0.3174 | 20.0 | 50 | 0.4974 | |
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| 0.4645 | 20.8 | 52 | 0.4949 | |
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| 0.3046 | 22.0 | 55 | 0.4929 | |
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| 0.4505 | 22.8 | 57 | 0.4923 | |
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| 0.2972 | 24.0 | 60 | 0.4920 | |
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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 2.1.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
