metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-1.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_all_domains
results: []
fine_tuned_all_domains
This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1512
- Accuracy: 0.9386
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5166 | 0.0111 | 100 | 0.2467 | 0.8979 |
| 0.2611 | 0.0223 | 200 | 0.2322 | 0.9157 |
| 0.2354 | 0.0334 | 300 | 0.1831 | 0.9220 |
| 0.1962 | 0.0446 | 400 | 0.2122 | 0.9222 |
| 0.1877 | 0.0557 | 500 | 0.3002 | 0.8910 |
| 0.1907 | 0.0669 | 600 | 0.1490 | 0.9431 |
| 0.1567 | 0.0780 | 700 | 0.1964 | 0.9239 |
| 0.1878 | 0.0891 | 800 | 0.1819 | 0.9274 |
| 0.1788 | 0.1003 | 900 | 0.1512 | 0.9386 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0