metadata
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finance_stereotype_detection
results: []
finance_stereotype_detection
This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on a custom dataset. It achieves the following results on the evaluation set:
- Loss: 0.1719
- Accuracy: 0.9782
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 | 0.2058 | 0.9501 |
| 0.2945 | 2.0 | 774 | 0.1557 | 0.9632 |
| 0.1004 | 3.0 | 1161 | 0.1389 | 0.9714 |
| 0.0681 | 4.0 | 1548 | 0.1481 | 0.9695 |
| 0.0681 | 5.0 | 1935 | 0.1211 | 0.9733 |
| 0.0361 | 6.0 | 2322 | 0.1796 | 0.9729 |
| 0.016 | 7.0 | 2709 | 0.1419 | 0.9782 |
| 0.007 | 8.0 | 3096 | 0.1687 | 0.9762 |
| 0.007 | 9.0 | 3483 | 0.1721 | 0.9777 |
| 0.0017 | 10.0 | 3870 | 0.1719 | 0.9782 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1