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20231005-9-bert-base-multilingual-cased-new
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5930
- Loss: 1.7283
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: 20
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.9365 | 1.82 | 200 | 0.3878 | 2.5398 |
| 2.3968 | 3.64 | 400 | 0.4564 | 2.3602 |
| 2.2177 | 5.45 | 600 | 0.5127 | 2.2161 |
| 2.1045 | 7.27 | 800 | 0.5242 | 2.2912 |
| 2.004 | 9.09 | 1000 | 0.5405 | 1.9708 |
| 1.8877 | 10.91 | 1200 | 0.5758 | 1.7440 |
| 1.7707 | 12.73 | 1400 | 0.6242 | 1.6567 |
| 1.7869 | 14.55 | 1600 | 0.6283 | 1.5502 |
| 1.7331 | 16.36 | 1800 | 0.5373 | 1.7845 |
| 1.686 | 18.18 | 2000 | 0.5938 | 1.6903 |
| 1.6699 | 20.0 | 2200 | 0.5930 | 1.7283 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
