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cdsb-f1
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0640
- F1: 0.811
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: 16
- eval_batch_size: 16
- 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 | F1 |
|---|---|---|---|---|
| 1.0072 | 1.0 | 875 | 0.6216 | 0.7935 |
| 0.4733 | 2.0 | 1750 | 0.6216 | 0.7995 |
| 0.2533 | 3.0 | 2625 | 0.7790 | 0.8108 |
| 0.1096 | 4.0 | 3500 | 0.9936 | 0.8123 |
| 0.0395 | 5.0 | 4375 | 1.0640 | 0.811 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
