mBERT-IndoSQuADv2_1691852823-8-2e-06-0.01-5
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: 1.8685
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-06
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1134 | 1.0 | 16290 | 1.9777 |
| 1.7153 | 2.0 | 32580 | 1.8824 |
| 1.5898 | 3.0 | 48870 | 1.8629 |
| 1.5116 | 4.0 | 65160 | 1.8628 |
| 1.4696 | 5.0 | 81450 | 1.8685 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3