model_outputs
This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an arcd dataset(Arabic dataset). It achieves the following results on the evaluation set:
- Loss: 3.0808
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8475 | 0.25 | 10 | 3.8987 |
| 4.0025 | 0.49 | 20 | 3.6754 |
| 3.6385 | 0.74 | 30 | 3.2931 |
| 3.2785 | 0.99 | 40 | 2.9471 |
| 2.1751 | 1.23 | 50 | 3.0013 |
| 1.8868 | 1.48 | 60 | 3.0324 |
| 1.9831 | 1.73 | 70 | 2.8470 |
| 1.8749 | 1.98 | 80 | 2.8488 |
| 1.0702 | 2.22 | 90 | 2.9369 |
| 0.8701 | 2.47 | 100 | 3.0490 |
| 0.8731 | 2.72 | 110 | 3.0774 |
| 0.8309 | 2.96 | 120 | 3.0808 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
riotu-lab/ArabianGPT-01B