cs
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:
- Loss: 0.0958
- Accuracy: 0.9753
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2693 | 1.0 | 125 | 0.1840 | 0.9513 |
| 0.1658 | 2.0 | 250 | 0.1030 | 0.9737 |
| 0.1037 | 3.0 | 375 | 0.0958 | 0.9753 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-multilingual-cased