---
base_model: meta-llama/Llama-2-7b-chat-hf
library_name: peft
license: llama2
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_2_unsafe_llama_2
  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. -->

# llama_2_unsafe_llama_2

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1038

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6444        | 0.4   | 5    | 2.1252          |
| 1.6642        | 0.8   | 10   | 1.4520          |
| 1.29          | 1.2   | 15   | 1.2414          |
| 1.151         | 1.6   | 20   | 1.1817          |
| 1.0661        | 2.0   | 25   | 1.1291          |
| 0.9829        | 2.4   | 30   | 1.1112          |
| 0.9062        | 2.8   | 35   | 1.1073          |
| 0.8685        | 3.2   | 40   | 1.1048          |
| 0.8852        | 3.6   | 45   | 1.1038          |
| 0.7973        | 4.0   | 50   | 1.1038          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1