stereotype_finetuned_3_class
This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1384
- Accuracy: 0.9862
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1373 | 1.0 | 516 | 0.0668 | 0.9836 |
| 0.0422 | 2.0 | 1032 | 0.0883 | 0.984 |
| 0.0205 | 3.0 | 1548 | 0.0870 | 0.9847 |
| 0.013 | 4.0 | 2064 | 0.0902 | 0.9851 |
| 0.0119 | 5.0 | 2580 | 0.0944 | 0.9862 |
| 0.005 | 6.0 | 3096 | 0.1035 | 0.9858 |
| 0.0071 | 7.0 | 3612 | 0.1077 | 0.9858 |
| 0.002 | 8.0 | 4128 | 0.1056 | 0.9844 |
| 0.0046 | 9.0 | 4644 | 0.0999 | 0.9855 |
| 0.0018 | 10.0 | 5160 | 0.1238 | 0.9858 |
| 0.0003 | 11.0 | 5676 | 0.1326 | 0.9847 |
| 0.0002 | 12.0 | 6192 | 0.1341 | 0.9858 |
| 0.0015 | 13.0 | 6708 | 0.1338 | 0.9858 |
| 0.0 | 14.0 | 7224 | 0.1438 | 0.9862 |
| 0.0 | 15.0 | 7740 | 0.1384 | 0.9862 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1