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men_women_classifier_e5-base
This model is a fine-tuned version of intfloat/multilingual-e5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0942
- Accuracy: {'accuracy': 0.9840425531914894}
- F1: {'f1': 0.9840423713546832}
- Precision: {'precision': 0.9840422788603751}
- Recall: {'recall': 0.9840425531914894}
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 |
|---|---|---|---|---|---|---|---|
| 0.13 | 1.0 | 4374 | 0.0883 | {'accuracy': 0.9792553191489362} | {'f1': 0.9792522280906619} | {'precision': 0.9792630359394037} | {'recall': 0.9792553191489362} |
| 0.0894 | 2.0 | 8748 | 0.1103 | {'accuracy': 0.9797872340425532} | {'f1': 0.9797780730447045} | {'precision': 0.9798780686057866} | {'recall': 0.9797872340425532} |
| 0.0572 | 3.0 | 13122 | 0.0905 | {'accuracy': 0.9832978723404255} | {'f1': 0.9832916160270326} | {'precision': 0.9833631614931747} | {'recall': 0.9832978723404255} |
| 0.0168 | 4.0 | 17496 | 0.0942 | {'accuracy': 0.9840425531914894} | {'f1': 0.9840423713546832} | {'precision': 0.9840422788603751} | {'recall': 0.9840425531914894} |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
