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_wp
results: []
fine_tuned_wp
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: 0.0726
- Accuracy: 0.9872
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.844 | 0.0285 | 100 | 0.3602 | 0.8626 |
| 0.4928 | 0.0570 | 200 | 0.3831 | 0.9166 |
| 0.2699 | 0.0856 | 300 | 0.2540 | 0.9682 |
| 0.2095 | 0.1141 | 400 | 0.0900 | 0.9753 |
| 0.1506 | 0.1426 | 500 | 0.0991 | 0.9801 |
| 0.1505 | 0.1711 | 600 | 0.0511 | 0.9894 |
| 0.0973 | 0.1997 | 700 | 0.1396 | 0.9750 |
| 0.1486 | 0.2282 | 800 | 0.0892 | 0.9692 |
| 0.1458 | 0.2567 | 900 | 0.0726 | 0.9872 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0