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--- |
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license: other |
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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/Wizard-Vicuna-7B-Uncensored-GPTQ |
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model-index: |
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- name: amadeus_v1 |
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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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# amadeus_v1 |
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This model is a fine-tuned version of [TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ](https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3259 |
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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: 0.002 |
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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: 10 |
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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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| 3.2904 | 1.0 | 75 | 3.2025 | |
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| 3.0004 | 2.0 | 150 | 3.1939 | |
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| 2.6935 | 3.0 | 225 | 3.2721 | |
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| 2.4059 | 4.0 | 300 | 3.3634 | |
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| 2.1472 | 5.0 | 375 | 3.5849 | |
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| 1.9307 | 6.0 | 450 | 3.7793 | |
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| 1.7398 | 7.0 | 525 | 3.8648 | |
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| 1.625 | 8.0 | 600 | 4.0542 | |
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| 1.5137 | 9.0 | 675 | 4.2189 | |
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| 1.4398 | 10.0 | 750 | 4.3259 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
