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men_women_classifier_e5
This model is a fine-tuned version of intfloat/multilingual-e5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0968
- Accuracy: {'accuracy': 0.9835106382978723}
- F1: {'f1': 0.9835089931560852}
- Precision: {'precision': 0.9835138017340622}
- Recall: {'recall': 0.9835106382978723}
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 |
|---|---|---|---|---|---|---|---|
| 0.1057 | 1.0 | 4374 | 0.1014 | {'accuracy': 0.9767021276595744} | {'f1': 0.97668023378551} | {'precision': 0.9770401424380659} | {'recall': 0.9767021276595744} |
| 0.071 | 2.0 | 8748 | 0.0809 | {'accuracy': 0.9809574468085106} | {'f1': 0.9809486774181788} | {'precision': 0.9810523440232739} | {'recall': 0.9809574468085106} |
| 0.0486 | 3.0 | 13122 | 0.0858 | {'accuracy': 0.9812765957446808} | {'f1': 0.9812759505494734} | {'precision': 0.9812761072356784} | {'recall': 0.9812765957446808} |
| 0.0163 | 4.0 | 17496 | 0.0968 | {'accuracy': 0.9835106382978723} | {'f1': 0.9835089931560852} | {'precision': 0.9835138017340622} | {'recall': 0.9835106382978723} |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
