google-bigbird-roberta-base
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0876
- F1 Score: 0.9858
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1 Score |
---|---|---|---|---|
0.08 | 1.0 | 3492 | 0.0894 | 0.9836 |
0.0592 | 2.0 | 6984 | 0.0932 | 0.9867 |
0.0447 | 3.0 | 10476 | 0.0876 | 0.9858 |
0.0184 | 4.0 | 13968 | 0.0951 | 0.9854 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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