---
library_name: transformers
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nbbert_ED1
  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_ED1

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: 0.4723
- F1-score: 0.8930

## 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   | 69   | 0.3745          | 0.8771   |
| No log        | 2.0   | 138  | 0.4001          | 0.8605   |
| No log        | 3.0   | 207  | 0.4723          | 0.8930   |
| No log        | 4.0   | 276  | 0.6866          | 0.8442   |
| No log        | 5.0   | 345  | 0.6563          | 0.8597   |
| No log        | 6.0   | 414  | 0.9802          | 0.8328   |
| No log        | 7.0   | 483  | 0.6917          | 0.8688   |
| 0.2309        | 8.0   | 552  | 0.6327          | 0.8759   |
| 0.2309        | 9.0   | 621  | 0.6371          | 0.8759   |
| 0.2309        | 10.0  | 690  | 0.6340          | 0.8765   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1