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RoBERTa-IndoSQuADv2_1691411576-8-2e-05-0.01-5
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1379
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6333 | 1.0 | 13 | 4.8929 |
| 4.7677 | 2.0 | 26 | 4.3994 |
| 4.1852 | 3.0 | 39 | 4.2310 |
| 3.9482 | 4.0 | 52 | 4.1576 |
| 3.7488 | 5.0 | 65 | 4.1379 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
