roberta-base-bne-ROBERTaBECAS
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.5760
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: 11
- eval_batch_size: 11
- seed: 42
- 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 |
|---|---|---|---|
| No log | 1.0 | 6 | 4.3366 |
| No log | 2.0 | 12 | 3.1395 |
| No log | 3.0 | 18 | 2.6092 |
| No log | 4.0 | 24 | 2.5084 |
| No log | 5.0 | 30 | 2.5760 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
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