---
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finance_stereotype_detection
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finance_stereotype_detection

This model is a fine-tuned version of [wu981526092/Sentence-Level-Stereotype-Detector](https://huggingface.co/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