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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vicuna-adv-robust-ul15-sft-lora |
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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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# vicuna-adv-robust-ul15-sft-lora |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0104 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2291 | 0.57 | 14 | 1.1108 | |
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| 1.1237 | 1.59 | 29 | 1.0651 | |
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| 1.0918 | 2.6 | 44 | 1.0472 | |
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| 1.0711 | 3.57 | 58 | 1.0371 | |
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| 1.0498 | 4.58 | 73 | 1.0299 | |
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| 1.0255 | 5.6 | 88 | 1.0247 | |
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| 1.0131 | 6.57 | 102 | 1.0210 | |
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| 1.0047 | 7.58 | 117 | 1.0181 | |
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| 1.004 | 8.59 | 132 | 1.0160 | |
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| 1.0007 | 9.57 | 146 | 1.0145 | |
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| 0.9938 | 10.58 | 161 | 1.0132 | |
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| 0.9916 | 11.59 | 176 | 1.0122 | |
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| 0.9884 | 12.56 | 190 | 1.0115 | |
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| 0.9881 | 13.58 | 205 | 1.0109 | |
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| 0.9856 | 14.59 | 220 | 1.0104 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0a0+32f93b1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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