---
base_model: LLM-PBE/Llama3.1-8b-instruct-LLMPC-Red-Team
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: zephyr-7b-sft-qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-sft-qlora

This model is a fine-tuned version of [LLM-PBE/Llama3.1-8b-instruct-LLMPC-Red-Team](https://huggingface.co/LLM-PBE/Llama3.1-8b-instruct-LLMPC-Red-Team) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2536

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3835        | 1.0   | 41   | 0.3792          |
| 0.3431        | 2.0   | 82   | 0.3488          |
| 0.2489        | 3.0   | 123  | 0.2568          |
| 0.2468        | 4.0   | 164  | 0.2538          |
| 0.2454        | 5.0   | 205  | 0.2536          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0