train_run-qwen2.5-0.5b-instruct-arabic-diacritization-fadel-10k-left-bias-all
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: 0.1131
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 |
|---|---|---|---|
| 0.2701 | 0.16 | 100 | 0.2476 |
| 0.1763 | 0.32 | 200 | 0.1717 |
| 0.1465 | 0.48 | 300 | 0.1509 |
| 0.1356 | 0.64 | 400 | 0.1301 |
| 0.1241 | 0.8 | 500 | 0.1220 |
| 0.1097 | 0.96 | 600 | 0.1131 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0