qwen3-0.6b-telecom-distilled
This model is a fine-tuned version of Qwen/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 10.2718
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 27.4065 | 0.1778 | 100 | 10.8046 |
| 27.4681 | 0.3556 | 200 | 10.2056 |
| 26.4315 | 0.5333 | 300 | 10.1465 |
| 26.6375 | 0.7111 | 400 | 10.2622 |
| 25.2635 | 0.8889 | 500 | 10.1981 |
| 26.9654 | 1.0658 | 600 | 10.1700 |
| 25.3722 | 1.2436 | 700 | 10.0219 |
| 26.5817 | 1.4213 | 800 | 10.2433 |
| 24.4284 | 1.5991 | 900 | 10.2607 |
| 25.5034 | 1.7769 | 1000 | 10.2287 |
| 25.934 | 1.9547 | 1100 | 10.2109 |
| 25.3019 | 2.1316 | 1200 | 10.1546 |
| 24.4273 | 2.3093 | 1300 | 10.1781 |
| 24.9056 | 2.4871 | 1400 | 10.2320 |
| 24.2637 | 2.6649 | 1500 | 10.2247 |
| 24.5714 | 2.8427 | 1600 | 10.2718 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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