---
library_name: transformers
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nbbert_ED
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nbbert_ED

This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9955
- F1-score: 0.8361

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 69   | 0.6947          | 0.4209   |
| No log        | 2.0   | 138  | 0.8251          | 0.6436   |
| No log        | 3.0   | 207  | 0.6215          | 0.7587   |
| No log        | 4.0   | 276  | 0.5942          | 0.7622   |
| No log        | 5.0   | 345  | 0.6512          | 0.7622   |
| No log        | 6.0   | 414  | 0.5853          | 0.7855   |
| No log        | 7.0   | 483  | 1.1781          | 0.6619   |
| 0.4341        | 8.0   | 552  | 0.9684          | 0.7596   |
| 0.4341        | 9.0   | 621  | 0.8108          | 0.7951   |
| 0.4341        | 10.0  | 690  | 0.9732          | 0.7849   |
| 0.4341        | 11.0  | 759  | 0.8429          | 0.8276   |
| 0.4341        | 12.0  | 828  | 1.1912          | 0.7576   |
| 0.4341        | 13.0  | 897  | 1.0208          | 0.8115   |
| 0.4341        | 14.0  | 966  | 0.9234          | 0.8197   |
| 0.1528        | 15.0  | 1035 | 0.8931          | 0.8357   |
| 0.1528        | 16.0  | 1104 | 1.1005          | 0.8025   |
| 0.1528        | 17.0  | 1173 | 0.9808          | 0.8279   |
| 0.1528        | 18.0  | 1242 | 1.0438          | 0.8195   |
| 0.1528        | 19.0  | 1311 | 1.0193          | 0.8197   |
| 0.1528        | 20.0  | 1380 | 0.9955          | 0.8361   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1