metadata
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stereotype_finetuned_1
results: []
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: 0.1202
- Accuracy: 0.9869
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 387 | 0.0797 | 0.9825 |
| 0.1426 | 2.0 | 774 | 0.0998 | 0.9811 |
| 0.0344 | 3.0 | 1161 | 0.0793 | 0.9850 |
| 0.0254 | 4.0 | 1548 | 0.1148 | 0.9796 |
| 0.0254 | 5.0 | 1935 | 0.0971 | 0.9855 |
| 0.0112 | 6.0 | 2322 | 0.0922 | 0.9879 |
| 0.005 | 7.0 | 2709 | 0.1057 | 0.9859 |
| 0.0021 | 8.0 | 3096 | 0.0995 | 0.9879 |
| 0.0021 | 9.0 | 3483 | 0.1288 | 0.9859 |
| 0.002 | 10.0 | 3870 | 0.1202 | 0.9869 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1