roberta-base-bne-sqac-finetuned-recores-long
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne-sqac on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8161
- Accuracy: 0.3710
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 | Accuracy |
|---|---|---|---|---|
| 1.6126 | 1.0 | 653 | 1.5897 | 0.3032 |
| 1.4433 | 2.0 | 1306 | 1.4736 | 0.4163 |
| 0.8946 | 3.0 | 1959 | 1.8161 | 0.3710 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.1+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1