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XLM-RoBERTa-IndoSQuADv2_1694025792-8-2e-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: 1.8240
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 |
|---|---|---|---|
| 2.369 | 1.0 | 16290 | 1.9995 |
| 1.7782 | 2.0 | 32580 | 1.8684 |
| 1.6566 | 3.0 | 48870 | 1.8263 |
| 1.5882 | 4.0 | 65160 | 1.8315 |
| 1.5493 | 5.0 | 81450 | 1.8240 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
