product_classifier_url_name_nodigit
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3035
- Accuracy: 0.9281
- F1: 0.9277
- Precision: 0.9277
- Recall: 0.9281
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| 0.8495 | 1.0 | 960 | 0.3696 | 0.8862 | 0.8857 | 0.8861 | 0.8862 |
| 0.3033 | 2.0 | 1920 | 0.3109 | 0.9109 | 0.9107 | 0.9108 | 0.9109 |
| 0.1779 | 3.0 | 2880 | 0.2908 | 0.9251 | 0.9247 | 0.9247 | 0.9251 |
| 0.1294 | 4.0 | 3840 | 0.3035 | 0.9281 | 0.9277 | 0.9277 | 0.9281 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for sianbru/product_classifier_url_name_nodigit
Base model
google-bert/bert-base-multilingual-uncased