vicuna-adv-robust-u10-sft-lora
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| No log | 0 | 0 | 2.4995 |
| 2.6131 | 1.09 | 1 | 2.5712 |
| 2.6131 | 1.09 | 1 | 2.5773 |
| 2.6131 | 3.03 | 2 | 2.6407 |
| 2.6131 | 4.12 | 3 | 2.5098 |
| 2.6131 | 4.12 | 3 | 2.5646 |
| 2.6131 | 6.06 | 4 | 2.4701 |
| 2.5907 | 7.15 | 5 | 2.5185 |
| 2.5907 | 7.15 | 5 | 2.6098 |
| 2.5907 | 9.09 | 6 | 2.6096 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.14.6
- Tokenizers 0.14.1
