metadata
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nbbert_NC
results: []
nbbert_NC
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: 0.2783
- F1-score: 0.9059
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 |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.2996 | 0.8705 |
| No log | 2.0 | 80 | 0.2783 | 0.9059 |
| No log | 3.0 | 120 | 0.4520 | 0.8468 |
| No log | 4.0 | 160 | 0.4208 | 0.8835 |
| No log | 5.0 | 200 | 0.4822 | 0.8769 |
| No log | 6.0 | 240 | 0.5911 | 0.8532 |
| No log | 7.0 | 280 | 0.6615 | 0.8575 |
| No log | 8.0 | 320 | 0.6214 | 0.8704 |
| No log | 9.0 | 360 | 0.5874 | 0.8769 |
| No log | 10.0 | 400 | 0.6864 | 0.8575 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1