---
tags:
- generated_from_trainer
model-index:
- name: vicuna-adv-robust-u15-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# vicuna-adv-robust-u15-sft-lora

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7553

## 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: 0.0003
- 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: 15

### Training results

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


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.14.6
- Tokenizers 0.14.1