---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ
model-index:
- name: Llama-3-70B-GPTQ
  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-3-70B-GPTQ

This model is a fine-tuned version of [TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ](https://huggingface.co/TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ) on the None dataset.

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 2    | 2.3162          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.3.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.2