xlm-roberta-base-te-transliterate
This model is a fine-tuned version of xlm-roberta-base on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 0.5086
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 66 | 0.5247 |
| 0.3495 | 2.0 | 132 | 0.5080 |
| 0.3495 | 3.0 | 198 | 0.5086 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for anishka/xlm-roberta-base-te-transliterate
Base model
FacebookAI/xlm-roberta-base