metadata
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nbbert_NCS
results: []
nbbert_NCS
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: 0.4645
- F1-score: 0.7958
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.5085 | 1.0 | 504 | 0.4645 | 0.7958 |
| 0.4027 | 2.0 | 1008 | 0.4524 | 0.7897 |
| 0.2655 | 3.0 | 1512 | 0.5993 | 0.7929 |
| 0.1758 | 4.0 | 2016 | 0.8533 | 0.7890 |
| 0.1048 | 5.0 | 2520 | 1.0830 | 0.7757 |
| 0.0536 | 6.0 | 3024 | 1.2138 | 0.7876 |
| 0.0438 | 7.0 | 3528 | 1.3657 | 0.7818 |
| 0.0162 | 8.0 | 4032 | 1.4657 | 0.7843 |
| 0.0151 | 9.0 | 4536 | 1.5118 | 0.7850 |
| 0.0086 | 10.0 | 5040 | 1.5580 | 0.7814 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1