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: 0.1085
- Accuracy: 0.9685
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 |
---|---|---|---|---|
0.2036 | 0.0860 | 500 | 0.3559 | 0.8714 |
0.1583 | 0.1720 | 1000 | 0.1607 | 0.9424 |
0.1279 | 0.2580 | 1500 | 0.1832 | 0.9308 |
0.1337 | 0.3441 | 2000 | 0.1520 | 0.9514 |
0.1144 | 0.4301 | 2500 | 0.1332 | 0.9559 |
0.1061 | 0.5161 | 3000 | 0.1273 | 0.9586 |
0.0865 | 0.6021 | 3500 | 0.1591 | 0.9514 |
0.0739 | 0.6881 | 4000 | 0.1265 | 0.9631 |
0.0716 | 0.7741 | 4500 | 0.1107 | 0.9640 |
0.0773 | 0.8601 | 5000 | 0.1058 | 0.9640 |
0.0823 | 0.9462 | 5500 | 0.1085 | 0.9685 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0