turkish-gpt2-mini-M0-cleaned-wiki720-10ep
This model is a fine-tuned version of 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