metadata
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nbBERT_ND
results: []
nbBERT_ND
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: 0.6925
- F1-score: 0.8767
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 223 | 0.3699 | 0.8512 |
| No log | 2.0 | 446 | 0.3821 | 0.8476 |
| 0.3652 | 3.0 | 669 | 0.4355 | 0.8719 |
| 0.3652 | 4.0 | 892 | 0.4200 | 0.8755 |
| 0.2357 | 5.0 | 1115 | 0.5924 | 0.8719 |
| 0.2357 | 6.0 | 1338 | 0.6925 | 0.8767 |
| 0.1243 | 7.0 | 1561 | 0.6726 | 0.8636 |
| 0.1243 | 8.0 | 1784 | 0.7976 | 0.8588 |
| 0.0626 | 9.0 | 2007 | 0.7962 | 0.8622 |
| 0.0626 | 10.0 | 2230 | 0.7938 | 0.8622 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1