model_outputs
This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8610
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 |
|---|---|---|---|
| 6.4515 | 0.25 | 10 | 4.5855 |
| 4.8912 | 0.49 | 20 | 4.1608 |
| 4.3524 | 0.74 | 30 | 4.0509 |
| 4.1537 | 0.99 | 40 | 4.0484 |
| 3.6716 | 1.23 | 50 | 4.0211 |
| 3.4284 | 1.48 | 60 | 4.1357 |
| 3.5215 | 1.73 | 70 | 4.2520 |
| 3.4336 | 1.98 | 80 | 4.0270 |
| 2.8886 | 2.22 | 90 | 4.9232 |
| 2.6176 | 2.47 | 100 | 5.0723 |
| 2.5867 | 2.72 | 110 | 4.8623 |
| 2.6076 | 2.96 | 120 | 4.8610 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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