---
library_name: peft
license: llama3.1
base_model: PartAI/Dorna2-Llama3.1-8B-Instruct
tags:
- generated_from_trainer
model-index:
- name: Dorna2-Llama3.1-8B-Instruct-finetuned
  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. -->

# Dorna2-Llama3.1-8B-Instruct-finetuned

This model is a fine-tuned version of [PartAI/Dorna2-Llama3.1-8B-Instruct](https://huggingface.co/PartAI/Dorna2-Llama3.1-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0417

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9932        | 1.0   | 155  | 1.0417          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1