---
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stereotype_finetuned_3_class
  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. -->

# stereotype_finetuned_3_class

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