Turkish-GPT2-mini-ModelA-v2
This model is a fine-tuned version of 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
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