XLM-RoBERTa-IndoSQuADv2_1694025616-16-2e-06-0.01-5
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8503
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.475 | 1.0 | 8145 | 2.0453 |
| 1.8481 | 2.0 | 16290 | 1.9140 |
| 1.7296 | 3.0 | 24435 | 1.8664 |
| 1.6676 | 4.0 | 32580 | 1.8543 |
| 1.6342 | 5.0 | 40725 | 1.8503 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3