---
license: apache-2.0
base_model: Karzan/gpt2-walamakan
tags:
- generated_from_trainer
model-index:
- name: gpt2-walamakan
  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. -->

# gpt2-walamakan

This model is a fine-tuned version of [Karzan/gpt2-walamakan](https://huggingface.co/Karzan/gpt2-walamakan) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1237

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3989        | 0.98  | 23   | 7.1169          |
| 0.3897        | 2.0   | 47   | 7.1342          |
| 0.3739        | 2.94  | 69   | 7.1237          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3