stereotype_finetuned_1
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: 1.3184
- Accuracy: 0.856
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 |
|---|---|---|---|---|
| 0.4268 | 1.0 | 516 | 0.3511 | 0.8425 |
| 0.2819 | 2.0 | 1032 | 0.3534 | 0.8593 |
| 0.2304 | 3.0 | 1548 | 0.3743 | 0.8636 |
| 0.175 | 4.0 | 2064 | 0.4341 | 0.8531 |
| 0.1201 | 5.0 | 2580 | 0.6222 | 0.8505 |
| 0.0928 | 6.0 | 3096 | 0.7032 | 0.8447 |
| 0.059 | 7.0 | 3612 | 0.8496 | 0.848 |
| 0.0362 | 8.0 | 4128 | 0.9396 | 0.8484 |
| 0.0293 | 9.0 | 4644 | 1.0407 | 0.8465 |
| 0.0202 | 10.0 | 5160 | 1.0932 | 0.8524 |
| 0.0151 | 11.0 | 5676 | 1.1281 | 0.8531 |
| 0.0069 | 12.0 | 6192 | 1.1992 | 0.8585 |
| 0.0039 | 13.0 | 6708 | 1.3510 | 0.8502 |
| 0.0047 | 14.0 | 7224 | 1.3186 | 0.8545 |
| 0.0015 | 15.0 | 7740 | 1.3184 | 0.856 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1