train_run-qwen2.5-0.5b-instruct-arabic-diacritization-fadel-10k-left-3e
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: 0.0889
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2681 | 0.16 | 100 | 0.2446 |
| 0.176 | 0.32 | 200 | 0.1755 |
| 0.15 | 0.48 | 300 | 0.1536 |
| 0.1418 | 0.64 | 400 | 0.1301 |
| 0.1225 | 0.8 | 500 | 0.1217 |
| 0.1104 | 0.96 | 600 | 0.1114 |
| 0.0804 | 1.12 | 700 | 0.1133 |
| 0.0833 | 1.28 | 800 | 0.1018 |
| 0.0796 | 1.44 | 900 | 0.1016 |
| 0.0812 | 1.6 | 1000 | 0.0986 |
| 0.0874 | 1.76 | 1100 | 0.0966 |
| 0.0738 | 1.92 | 1200 | 0.0912 |
| 0.0521 | 2.08 | 1300 | 0.0951 |
| 0.0508 | 2.24 | 1400 | 0.0918 |
| 0.0512 | 2.4 | 1500 | 0.0898 |
| 0.054 | 2.56 | 1600 | 0.0933 |
| 0.053 | 2.7200 | 1700 | 0.0928 |
| 0.0562 | 2.88 | 1800 | 0.0889 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0