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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: rapper-gpt |
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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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# rapper-gpt |
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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: 1.1394 |
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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: 25 |
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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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| 1.0259 | 0.8889 | 4 | 0.9759 | |
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| 0.7299 | 2.0 | 9 | 0.9117 | |
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| 0.8055 | 2.8889 | 13 | 0.8819 | |
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| 0.5669 | 4.0 | 18 | 0.8468 | |
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| 0.622 | 4.8889 | 22 | 0.8584 | |
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| 0.4568 | 6.0 | 27 | 0.9003 | |
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| 0.5379 | 6.8889 | 31 | 0.9569 | |
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| 0.4119 | 8.0 | 36 | 0.9821 | |
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| 0.4993 | 8.8889 | 40 | 1.0176 | |
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| 0.3941 | 10.0 | 45 | 1.0345 | |
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| 0.4832 | 10.8889 | 49 | 1.0687 | |
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| 0.3836 | 12.0 | 54 | 1.0911 | |
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| 0.4758 | 12.8889 | 58 | 1.0688 | |
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| 0.3788 | 14.0 | 63 | 1.0902 | |
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| 0.4711 | 14.8889 | 67 | 1.0868 | |
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| 0.3749 | 16.0 | 72 | 1.0949 | |
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| 0.4663 | 16.8889 | 76 | 1.1072 | |
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| 0.3724 | 18.0 | 81 | 1.1164 | |
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| 0.464 | 18.8889 | 85 | 1.1282 | |
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| 0.3702 | 20.0 | 90 | 1.1350 | |
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| 0.4619 | 20.8889 | 94 | 1.1387 | |
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| 0.3684 | 22.0 | 99 | 1.1391 | |
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| 0.4108 | 22.2222 | 100 | 1.1394 | |
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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 |
