SingPurcBERT-Katch-0329-v2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4923
- Accuracy: 0.7693
- F1: 0.7689
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: 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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.4756 | 1.0 | 2522 | 0.4923 | 0.7693 | 0.7689 |
0.4137 | 2.0 | 5044 | 0.5065 | 0.7908 | 0.7906 |
0.388 | 3.0 | 7566 | 0.5142 | 0.7985 | 0.7985 |
0.3482 | 4.0 | 10088 | 0.6883 | 0.7971 | 0.7971 |
0.349 | 5.0 | 12610 | 0.8783 | 0.7908 | 0.7904 |
0.3124 | 6.0 | 15132 | 0.8833 | 0.7865 | 0.7864 |
0.2986 | 7.0 | 17654 | 0.9290 | 0.7880 | 0.7880 |
0.2404 | 8.0 | 20176 | 1.1548 | 0.7847 | 0.7846 |
0.2243 | 9.0 | 22698 | 1.2760 | 0.7837 | 0.7836 |
0.1488 | 10.0 | 25220 | 1.3746 | 0.7831 | 0.7830 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
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google-bert/bert-base-multilingual-cased
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