metadata
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_all_domains_1.5
results: []
fine_tuned_all_domains_1.5
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2531
- Accuracy: 0.9460
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: 8
- eval_batch_size: 8
- seed: 42
- 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: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4234 | 0.0126 | 500 | 0.3614 | 0.8957 |
| 0.2949 | 0.0252 | 1000 | 0.2974 | 0.9101 |
| 0.3592 | 0.0377 | 1500 | 0.2913 | 0.9137 |
| 0.3101 | 0.0503 | 2000 | 0.2877 | 0.9326 |
| 0.2923 | 0.0629 | 2500 | 0.2246 | 0.9290 |
| 0.2778 | 0.0755 | 3000 | 0.2472 | 0.9397 |
| 0.2556 | 0.0881 | 3500 | 0.2163 | 0.9487 |
| 0.2986 | 0.1006 | 4000 | 0.2156 | 0.9478 |
| 0.272 | 0.1132 | 4500 | 0.2387 | 0.9388 |
| 0.2363 | 0.1258 | 5000 | 0.4263 | 0.9326 |
| 0.221 | 0.1384 | 5500 | 0.2054 | 0.9505 |
| 0.2478 | 0.1510 | 6000 | 0.2851 | 0.9451 |
| 0.2451 | 0.1635 | 6500 | 0.2730 | 0.9442 |
| 0.1915 | 0.1761 | 7000 | 0.2531 | 0.9460 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0