---
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: 6.7392

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.523         | 1.0   | 94   | 6.4968          |
| 0.5212        | 2.0   | 188  | 6.4501          |
| 0.488         | 3.0   | 282  | 6.4814          |
| 0.4723        | 4.0   | 376  | 6.5004          |
| 0.4452        | 5.0   | 470  | 6.5328          |
| 0.4442        | 6.0   | 564  | 6.5507          |
| 0.4147        | 7.0   | 658  | 6.5598          |
| 0.397         | 8.0   | 752  | 6.5623          |
| 0.3868        | 9.0   | 846  | 6.5642          |
| 0.3686        | 10.0  | 940  | 6.5713          |
| 0.3553        | 11.0  | 1034 | 6.6027          |
| 0.338         | 12.0  | 1128 | 6.5953          |
| 0.3344        | 13.0  | 1222 | 6.6386          |
| 0.315         | 14.0  | 1316 | 6.6202          |
| 0.3096        | 15.0  | 1410 | 6.6239          |
| 0.2961        | 16.0  | 1504 | 6.6648          |
| 0.2899        | 17.0  | 1598 | 6.6663          |
| 0.2782        | 18.0  | 1692 | 6.6750          |
| 0.2642        | 19.0  | 1786 | 6.6777          |
| 0.2541        | 20.0  | 1880 | 6.6807          |
| 0.2502        | 21.0  | 1974 | 6.6956          |
| 0.2453        | 22.0  | 2068 | 6.7099          |
| 0.2485        | 23.0  | 2162 | 6.7159          |
| 0.2342        | 24.0  | 2256 | 6.7149          |
| 0.2226        | 25.0  | 2350 | 6.7288          |
| 0.22          | 26.0  | 2444 | 6.7302          |
| 0.2172        | 27.0  | 2538 | 6.7315          |
| 0.2185        | 28.0  | 2632 | 6.7374          |
| 0.2131        | 29.0  | 2726 | 6.7361          |
| 0.2089        | 30.0  | 2820 | 6.7392          |


### Framework versions

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