Roberta_vi_MLQA
This model is a fine-tuned version of roberta-base on the mlqa dataset. It achieves the following results on the evaluation set:
- Loss: 2.3695
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 2.5026 | 1.0 | 1928 | 2.5248 |
| 2.1866 | 2.0 | 3856 | 2.3501 |
| 1.9707 | 3.0 | 5784 | 2.3695 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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