saudi_eou_qwen
This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct on the saudi_eou dataset. It achieves the following results on the evaluation set:
- Loss: 0.1497
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1887 | 0.2632 | 100 | 0.1556 |
| 0.1915 | 0.5263 | 200 | 0.1515 |
| 0.1352 | 0.7895 | 300 | 0.1373 |
| 0.1611 | 1.0526 | 400 | 0.1280 |
| 0.117 | 1.3158 | 500 | 0.1194 |
| 0.1145 | 1.5789 | 600 | 0.1213 |
| 0.121 | 1.8421 | 700 | 0.1117 |
| 0.0586 | 2.1053 | 800 | 0.1188 |
| 0.0495 | 2.3684 | 900 | 0.1218 |
| 0.0818 | 2.6316 | 1000 | 0.1147 |
| 0.0688 | 2.8947 | 1100 | 0.1358 |
| 0.0151 | 3.1579 | 1200 | 0.1242 |
| 0.0296 | 3.4211 | 1300 | 0.1345 |
| 0.0243 | 3.6842 | 1400 | 0.1320 |
| 0.0407 | 3.9474 | 1500 | 0.1485 |
| 0.0129 | 4.2105 | 1600 | 0.1466 |
| 0.0138 | 4.4737 | 1700 | 0.1453 |
| 0.0272 | 4.7368 | 1800 | 0.1512 |
| 0.0202 | 5.0 | 1900 | 0.1497 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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