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

# age_gender_ft_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: 0.0976
- Accuracy: 0.98

## 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   | 75   | 0.1723          | 0.9567   |
| No log        | 2.0   | 150  | 0.1166          | 0.97     |
| No log        | 3.0   | 225  | 0.0715          | 0.9733   |
| No log        | 4.0   | 300  | 0.0666          | 0.9833   |
| No log        | 5.0   | 375  | 0.0801          | 0.9767   |
| No log        | 6.0   | 450  | 0.0910          | 0.98     |
| 0.1225        | 7.0   | 525  | 0.0913          | 0.98     |
| 0.1225        | 8.0   | 600  | 0.1151          | 0.98     |
| 0.1225        | 9.0   | 675  | 0.0959          | 0.9733   |
| 0.1225        | 10.0  | 750  | 0.0976          | 0.98     |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1