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_balanced
results: []
fine_tuned_all_domains_balanced
This model is a fine-tuned version of Qwen/Qwen2-1.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2348
- Accuracy: 0.9322
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 |
|---|---|---|---|---|
| 0.4167 | 0.0190 | 100 | 0.1855 | 0.9287 |
| 0.1955 | 0.0381 | 200 | 0.1635 | 0.9493 |
| 0.1727 | 0.0571 | 300 | 0.1662 | 0.9399 |
| 0.1828 | 0.0762 | 400 | 0.2020 | 0.9343 |
| 0.1424 | 0.0952 | 500 | 0.2348 | 0.9322 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0