tensorboard safetensors generated_from_trainer region:us
---
tags:
- generated_from_trainer
model-index:
- name: vicuna-adv-robust-u10-sft-lora
  results: []
---

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# 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:
- Loss: 2.5518

## 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
