train_run-Qwen2.5-0.5B-Instruct-fadel-full-arabic-diacritization
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0488
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1216 | 0.0623 | 500 | 0.1203 |
| 0.0872 | 0.1247 | 1000 | 0.0907 |
| 0.072 | 0.1870 | 1500 | 0.0786 |
| 0.0662 | 0.2493 | 2000 | 0.0746 |
| 0.0667 | 0.3117 | 2500 | 0.0667 |
| 0.0635 | 0.3740 | 3000 | 0.0654 |
| 0.0626 | 0.4364 | 3500 | 0.0619 |
| 0.0606 | 0.4987 | 4000 | 0.0574 |
| 0.0612 | 0.5610 | 4500 | 0.0547 |
| 0.0557 | 0.6234 | 5000 | 0.0553 |
| 0.0548 | 0.6857 | 5500 | 0.0554 |
| 0.0516 | 0.7480 | 6000 | 0.0538 |
| 0.0475 | 0.8104 | 6500 | 0.0515 |
| 0.0515 | 0.8727 | 7000 | 0.0508 |
| 0.0513 | 0.9350 | 7500 | 0.0496 |
| 0.0542 | 0.9974 | 8000 | 0.0488 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0