xlm-roberta-finetuned-small-squad-indonesian-rizal
This model is a fine-tuned version of xlm-roberta-base on the small-squad indonesian dataset. It achieves the following results on the evaluation set:
- Loss: 1.9420
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2912 | 1.0 | 2719 | 1.7761 |
| 1.0613 | 2.0 | 5438 | 1.8667 |
| 0.8821 | 3.0 | 8157 | 1.9420 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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