raid-fine-tuned-gpt2-medium-arabic-poetry
This model is a fine-tuned version of elgeish/gpt2-medium-arabic-poetry on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5802
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: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 250 | 1.7144 |
1.7956 | 2.0 | 500 | 1.5937 |
1.7956 | 3.0 | 750 | 1.5802 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
elgeish/gpt2-medium-arabic-poetry