---
license: apache-2.0
base_model: HooshvareLab/gpt2-fa
tags:
- generated_from_trainer
library_name: peft
model-index:
- name: sedna-gpt2-lora
  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. -->

# sedna-gpt2-lora

This model is a fine-tuned version of [HooshvareLab/gpt2-fa](https://huggingface.co/HooshvareLab/gpt2-fa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7475

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5666        | 1.0   | 491  | 1.9754          |
| 2.3271        | 2.0   | 982  | 1.7881          |
| 2.2811        | 3.0   | 1473 | 1.7475          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.19.1