metadata
license: mit
base_model: wu981526092/Sentence-Level-Stereotype-Detector
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: age_gender_ft_1
results: []
age_gender_ft_1
This model is a fine-tuned version of 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