---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-GPTQ
model-index:
- name: LLama-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLama-translation

This model is a fine-tuned version of [TheBloke/Llama-2-7B-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3955
- eval_runtime: 179.6096
- eval_samples_per_second: 9.565
- eval_steps_per_second: 1.197
- epoch: 2.0
- step: 774

## 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: 0.0001
- train_batch_size: 40
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1285
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2