balinese_bert_gelu_new
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9745
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: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1393 | 1.0 | 2843 | 4.0532 |
| 3.6491 | 2.0 | 5686 | 3.6924 |
| 3.4159 | 3.0 | 8529 | 3.5218 |
| 3.2105 | 4.0 | 11372 | 3.3755 |
| 3.0756 | 5.0 | 14215 | 3.2582 |
| 2.9596 | 6.0 | 17058 | 3.1466 |
| 2.8365 | 7.0 | 19901 | 3.0997 |
| 2.8275 | 8.0 | 22744 | 3.0202 |
| 2.6495 | 9.0 | 25587 | 3.0060 |
| 2.6153 | 10.0 | 28430 | 2.9745 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 2.19.0
- Tokenizers 0.20.3
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Base model
google-bert/bert-base-multilingual-cased