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xlm-roberta-base-finetuned-sinquad-v1
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8768
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 1.7867 | 1.0 | 93 | 1.1912 |
| 1.1577 | 2.0 | 186 | 0.9806 |
| 0.9607 | 3.0 | 279 | 0.9077 |
| 0.8221 | 4.0 | 372 | 0.8981 |
| 0.5837 | 5.0 | 465 | 0.8768 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.6.1
- Tokenizers 0.12.1
{'exact_match': 65.01524390243902, 'f1': 83.20167371970088}
