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xlm-roberta-large-finetuned-squad-v2
This model is a fine-tuned version of xlm-roberta-large on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4627
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: 8
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 2.029 | 1.0 | 950 | 0.9281 |
| 0.9774 | 2.0 | 1900 | 0.6130 |
| 0.6781 | 3.0 | 2850 | 0.4627 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3
