Turkish-GPT2-mini-ModelD
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: 4.0867
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
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