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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: 4.5349 |
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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: 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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| 3.4924 | 1.0 | 75 | 3.2433 | |
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| 3.1246 | 2.0 | 150 | 3.2148 | |
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| 2.8655 | 3.0 | 225 | 3.2529 | |
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| 2.6201 | 4.0 | 300 | 3.3286 | |
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| 2.4044 | 5.0 | 375 | 3.4331 | |
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| 2.2106 | 6.0 | 450 | 3.5828 | |
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| 2.0348 | 7.0 | 525 | 3.7128 | |
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| 1.9341 | 8.0 | 600 | 3.7719 | |
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| 1.7997 | 9.0 | 675 | 3.8238 | |
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| 1.7071 | 10.0 | 750 | 3.9716 | |
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| 1.6537 | 11.0 | 825 | 4.0883 | |
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| 1.5708 | 12.0 | 900 | 4.1066 | |
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| 1.5302 | 13.0 | 975 | 4.1778 | |
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| 1.4895 | 14.0 | 1050 | 4.2198 | |
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| 1.4586 | 15.0 | 1125 | 4.2890 | |
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| 1.4211 | 16.0 | 1200 | 4.3352 | |
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| 1.3721 | 17.0 | 1275 | 4.4004 | |
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| 1.3637 | 18.0 | 1350 | 4.4707 | |
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| 1.3597 | 19.0 | 1425 | 4.5228 | |
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| 1.3362 | 20.0 | 1500 | 4.5349 | |
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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 |
