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xlm-roberta-large-finetuned-sinquad
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7559
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: 384
- eval_batch_size: 384
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1536
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0241 | 0.9 | 7 | 0.9477 |
| 0.8636 | 1.94 | 15 | 0.8885 |
| 0.8114 | 2.97 | 23 | 0.8461 |
| 0.7665 | 4.0 | 31 | 0.8407 |
| 0.7477 | 4.52 | 35 | 0.8349 |
| 0.8059 | 0.9 | 7 | 0.8374 |
| 0.7075 | 1.94 | 15 | 0.7968 |
| 0.6106 | 2.97 | 23 | 0.7655 |
| 0.5669 | 4.0 | 31 | 0.7620 |
| 0.5406 | 4.52 | 35 | 0.7559 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.6.1
- Tokenizers 0.12.1
{'exact_match': 66.38719512195122, 'f1': 86.21696118141166}
