---
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stereotype_finetuned_1
  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_1

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: 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