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_balanced_1.5
results: []
fine_tuned_all_domains_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: 0.1147
- Accuracy: 0.9703
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 |
|---|---|---|---|---|
| 0.1945 | 0.0860 | 500 | 0.4187 | 0.8732 |
| 0.171 | 0.1720 | 1000 | 0.1541 | 0.9371 |
| 0.1235 | 0.2580 | 1500 | 0.1469 | 0.9451 |
| 0.1233 | 0.3441 | 2000 | 0.1433 | 0.9532 |
| 0.1109 | 0.4301 | 2500 | 0.1395 | 0.9541 |
| 0.108 | 0.5161 | 3000 | 0.1134 | 0.9622 |
| 0.0864 | 0.6021 | 3500 | 0.1452 | 0.9649 |
| 0.0743 | 0.6881 | 4000 | 0.1336 | 0.9676 |
| 0.0637 | 0.7741 | 4500 | 0.1147 | 0.9703 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0