library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | Qwen/Qwen3-1.7B-Base |
|
|
qwen3-1.7b-arabic-standard-kd-500k-run1
This model is a fine-tuned version of Qwen/Qwen3-1.7B-Base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2204
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 14.6668 | 0.08 | 500 | 1.8397 |
| 12.1563 | 0.16 | 1000 | 1.4620 |
| 11.3135 | 0.24 | 1500 | 1.3525 |
| 9.9210 | 0.32 | 2000 | 1.3104 |
| 10.3060 | 0.4 | 2500 | 1.2888 |
| 10.0837 | 0.48 | 3000 | 1.2734 |
| 9.9288 | 0.56 | 3500 | 1.2624 |
| 9.7258 | 0.64 | 4000 | 1.2535 |
| 10.5379 | 0.72 | 4500 | 1.2467 |
| 9.6359 | 0.8 | 5000 | 1.2411 |
| 9.7599 | 0.88 | 5500 | 1.2378 |
| 9.5537 | 0.96 | 6000 | 1.2341 |
| 8.9824 | 1.04 | 6500 | 1.2330 |
| 9.1426 | 1.12 | 7000 | 1.2301 |
| 9.1812 | 1.2 | 7500 | 1.2278 |
| 9.5528 | 1.28 | 8000 | 1.2263 |
| 9.5329 | 1.3600 | 8500 | 1.2253 |
| 9.7780 | 1.44 | 9000 | 1.2244 |
| 9.0461 | 1.52 | 9500 | 1.2233 |
| 9.1856 | 1.6 | 10000 | 1.2225 |
| 9.5591 | 1.6800 | 10500 | 1.2218 |
| 9.4817 | 1.76 | 11000 | 1.2216 |
| 9.1887 | 1.8400 | 11500 | 1.2214 |
| 9.2712 | 1.92 | 12000 | 1.2209 |
| 9.4848 | 2.0 | 12500 | 1.2207 |
| 9.4791 | 2.08 | 13000 | 1.2208 |
| 9.0451 | 2.16 | 13500 | 1.2207 |
| 9.2963 | 2.24 | 14000 | 1.2206 |
| 9.2480 | 2.32 | 14500 | 1.2205 |
| 9.5312 | 2.4 | 15000 | 1.2204 |
| 9.6915 | 2.48 | 15500 | 1.2205 |
| 9.7962 | 2.56 | 16000 | 1.2204 |
| 9.4335 | 2.64 | 16500 | 1.2205 |
| 9.7608 | 2.7200 | 17000 | 1.2203 |
| 9.4249 | 2.8 | 17500 | 1.2204 |
| 9.5159 | 2.88 | 18000 | 1.2204 |
| 8.9972 | 2.96 | 18500 | 1.2205 |
| 9.3566 | 3.0 | 18750 | 1.2204 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2