<!-- 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. -->
men_women_classifier_distilbert
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: 0.1493
- Accuracy: {'accuracy': 0.975531914893617}
- F1: {'f1': 0.9755242736099056}
- Precision: {'precision': 0.9755720502901353}
- Recall: {'recall': 0.975531914893617}
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1714 | 1.0 | 4374 | 0.1356 | {'accuracy': 0.9668085106382979} | {'f1': 0.9667616380489841} | {'precision': 0.9674455061562683} | {'recall': 0.9668085106382979} |
| 0.1059 | 2.0 | 8748 | 0.1308 | {'accuracy': 0.9729787234042553} | {'f1': 0.9729636635127769} | {'precision': 0.973104751027677} | {'recall': 0.9729787234042553} |
| 0.0763 | 3.0 | 13122 | 0.1478 | {'accuracy': 0.9747872340425532} | {'f1': 0.9747841025022547} | {'precision': 0.9747907320527981} | {'recall': 0.9747872340425532} |
| 0.0306 | 4.0 | 17496 | 0.1493 | {'accuracy': 0.975531914893617} | {'f1': 0.9755242736099056} | {'precision': 0.9755720502901353} | {'recall': 0.975531914893617} |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
