metadata
base_model: eminAydin/turkish-gpt2-mini-M0-cleaned-wiki720-10ep
tags:
- generated_from_trainer
model-index:
- name: Turkish-GPT2-mini-ModelC-v2
results: []
Turkish-GPT2-mini-ModelC-v2
This model is a fine-tuned version of 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