metadata
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_per_domain_balanced_1.5
results: []
fine_tuned_per_domain_balanced_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: 0.0842
- Accuracy: 0.9714
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.1807 | 0.0915 | 500 | 0.3355 | 0.8881 |
| 0.1387 | 0.1831 | 1000 | 0.1860 | 0.9293 |
| 0.1443 | 0.2746 | 1500 | 0.1421 | 0.9418 |
| 0.1143 | 0.3662 | 2000 | 0.1273 | 0.9517 |
| 0.1103 | 0.4577 | 2500 | 0.1393 | 0.9490 |
| 0.1049 | 0.5492 | 3000 | 0.1159 | 0.9606 |
| 0.0809 | 0.6408 | 3500 | 0.1267 | 0.9526 |
| 0.0896 | 0.7323 | 4000 | 0.1104 | 0.9606 |
| 0.0758 | 0.8239 | 4500 | 0.1341 | 0.9633 |
| 0.0811 | 0.9154 | 5000 | 0.0842 | 0.9714 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0