---
tags:
- generated_from_trainer
model-index:
- name: turkish-gpt2-mini-M0-cleaned-wiki720-10ep
  results: []
---

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# turkish-gpt2-mini-M0-cleaned-wiki720-10ep

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4235

## 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
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 6.1744        | 1.0   | 72000  | 5.2699          |
| 4.9504        | 2.0   | 144000 | 4.8620          |
| 4.6289        | 3.0   | 216000 | 4.6946          |
| 4.4381        | 4.0   | 288000 | 4.5945          |
| 4.2965        | 5.0   | 360000 | 4.5257          |
| 4.1802        | 6.0   | 432000 | 4.4765          |
| 4.0826        | 7.0   | 504000 | 4.4464          |
| 4.0024        | 8.0   | 576000 | 4.4294          |
| 3.9444        | 9.0   | 648000 | 4.4230          |
| 3.9108        | 10.0  | 720000 | 4.4235          |


### Framework versions

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