nbbert_NCST
This model is a fine-tuned version of NbAiLab/nb-bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4123
- F1-score: 0.8174
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: 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-score |
|---|---|---|---|---|
| 0.5078 | 1.0 | 535 | 0.4123 | 0.8174 |
| 0.417 | 2.0 | 1070 | 0.4540 | 0.8027 |
| 0.2917 | 3.0 | 1605 | 0.5587 | 0.8007 |
| 0.1978 | 4.0 | 2140 | 0.8186 | 0.7875 |
| 0.1333 | 5.0 | 2675 | 0.9502 | 0.7917 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for yemen2016/nbbert_NCST
Base model
NbAiLab/nb-bert-base