---
base_model: eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep
tags:
- generated_from_trainer
model-index:
- name: Turkish-GPT2-mini-ModelC-v2
  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. -->

# Turkish-GPT2-mini-ModelC-v2

This model is a fine-tuned version of [eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep](https://huggingface.co/eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7888

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.5885        | 1.0   | 105  | 5.3409          |
| 4.6793        | 2.0   | 211  | 5.0595          |
| 4.3251        | 3.0   | 316  | 4.9534          |
| 4.0177        | 4.0   | 422  | 4.8832          |
| 3.8553        | 5.0   | 527  | 4.8464          |
| 3.6698        | 6.0   | 633  | 4.8168          |
| 3.6011        | 7.0   | 738  | 4.7974          |
| 3.5002        | 8.0   | 844  | 4.7905          |
| 3.4937        | 9.0   | 949  | 4.7890          |
| 3.4673        | 9.95  | 1050 | 4.7888          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2