gpt2-walamakan
This model is a fine-tuned version of Karzan/gpt2-walamakan on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.1660
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3556 | 0.98 | 23 | 7.1535 |
| 0.3519 | 2.0 | 47 | 7.1555 |
| 0.3407 | 2.94 | 69 | 7.1660 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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