---
base_model: hivaze/ParaLex-Llama-3-8B-SFT
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: results_packing
  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. -->

# results_packing

This model is a fine-tuned version of [hivaze/ParaLex-Llama-3-8B-SFT](https://huggingface.co/hivaze/ParaLex-Llama-3-8B-SFT) 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 17
- total_train_batch_size: 17
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 32

### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1