---
license: apache-2.0
base_model: Karzan/gpt2-walamakan
tags:
- generated_from_trainer
model-index:
- name: gpt2-walamakan-2
  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-2

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: 6.4828

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1881        | 1.0   | 94   | 6.0972          |
| 1.2034        | 2.0   | 188  | 6.0652          |
| 1.1824        | 3.0   | 282  | 6.0496          |
| 1.1121        | 4.0   | 376  | 6.0788          |
| 1.0076        | 5.0   | 470  | 6.1131          |
| 0.9701        | 6.0   | 564  | 6.1266          |
| 0.9139        | 7.0   | 658  | 6.1638          |
| 0.853         | 8.0   | 752  | 6.1843          |
| 0.8127        | 9.0   | 846  | 6.2386          |
| 0.7804        | 10.0  | 940  | 6.2518          |
| 0.7446        | 11.0  | 1034 | 6.2697          |
| 0.6978        | 12.0  | 1128 | 6.2918          |
| 0.6735        | 13.0  | 1222 | 6.3343          |
| 0.6361        | 14.0  | 1316 | 6.3382          |
| 0.613         | 15.0  | 1410 | 6.3714          |
| 0.5922        | 16.0  | 1504 | 6.3673          |
| 0.5547        | 17.0  | 1598 | 6.3919          |
| 0.5458        | 18.0  | 1692 | 6.3803          |
| 0.5256        | 19.0  | 1786 | 6.4164          |
| 0.5317        | 20.0  | 1880 | 6.4344          |
| 0.4977        | 21.0  | 1974 | 6.4412          |
| 0.4871        | 22.0  | 2068 | 6.4548          |
| 0.4763        | 23.0  | 2162 | 6.4629          |
| 0.4673        | 24.0  | 2256 | 6.4557          |
| 0.4664        | 25.0  | 2350 | 6.4701          |
| 0.4452        | 26.0  | 2444 | 6.4636          |
| 0.4361        | 27.0  | 2538 | 6.4771          |
| 0.428         | 28.0  | 2632 | 6.4834          |
| 0.4253        | 29.0  | 2726 | 6.4825          |
| 0.4287        | 30.0  | 2820 | 6.4828          |


### Framework versions

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