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

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: 4.0867

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.6402        | 1.0   | 9070  | 4.4621          |
| 4.234         | 2.0   | 18141 | 4.3165          |
| 4.0724        | 3.0   | 27212 | 4.2356          |
| 3.9612        | 4.0   | 36283 | 4.1839          |
| 3.8744        | 5.0   | 45354 | 4.1467          |
| 3.8054        | 6.0   | 54425 | 4.1220          |
| 3.7504        | 7.0   | 63496 | 4.1025          |
| 3.7095        | 8.0   | 72567 | 4.0923          |
| 3.6833        | 9.0   | 81637 | 4.0869          |
| 3.6688        | 10.0  | 90700 | 4.0867          |


### Framework versions

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