Ethnicity-Model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0596
- Accuracy: 0.9857
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: 2e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.097 | 1.0 | 6118 | 0.1001 | 0.9734 |
| 0.0718 | 2.0 | 12236 | 0.0708 | 0.9803 |
| 0.0518 | 3.0 | 18354 | 0.0646 | 0.9832 |
| 0.0321 | 4.0 | 24472 | 0.0576 | 0.9850 |
| 0.0289 | 5.0 | 30590 | 0.0596 | 0.9857 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.12.0
- Datasets 2.9.0
- Tokenizers 0.10.3
- Downloads last month
- 25
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.