---
base_model: eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep
tags:
- generated_from_trainer
model-index:
- name: Turkish-GPT2-mini-ModelA-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-ModelA-v2

This model is a fine-tuned version of [eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep](https://huggingface.co/eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4164

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.6261        | 1.0   | 92   | 4.4779          |
| 4.0714        | 1.99  | 184  | 4.4208          |
| 3.8349        | 2.99  | 276  | 4.4140          |
| 3.6198        | 4.0   | 369  | 4.4100          |
| 3.5232        | 5.0   | 461  | 4.4077          |
| 3.4149        | 5.99  | 553  | 4.4100          |
| 3.3322        | 6.99  | 645  | 4.4134          |
| 3.2454        | 8.0   | 738  | 4.4164          |


### Framework versions

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