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---
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
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