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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-u15-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-u15-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: 1.7553 |
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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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| No log | 0 | 0 | 2.4952 | |
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| 2.5615 | 1.09 | 1 | 2.5270 | |
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| 2.5615 | 1.09 | 1 | 2.5362 | |
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| 2.5615 | 3.03 | 2 | 2.5338 | |
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| 2.5615 | 4.12 | 3 | 2.2734 | |
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| 2.5615 | 4.12 | 3 | 2.3209 | |
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| 2.5615 | 6.06 | 4 | 2.1026 | |
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| 2.3634 | 7.15 | 5 | 2.0141 | |
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| 2.3634 | 7.15 | 5 | 2.0772 | |
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| 2.3634 | 9.09 | 6 | 1.9678 | |
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| 2.3634 | 9.09 | 6 | 1.8940 | |
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| 2.3634 | 11.03 | 7 | 1.8120 | |
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| 2.3634 | 12.12 | 8 | 1.8152 | |
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| 2.3634 | 12.12 | 8 | 1.7991 | |
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| 2.3634 | 14.06 | 9 | 1.7646 | |
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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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