---
license: agpl-3.0
base_model: vesteinn/ScandiBERT
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_ScandiBERT
  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. -->

# MeMo_BERT-SA_ScandiBERT

This model is a fine-tuned version of [vesteinn/ScandiBERT](https://huggingface.co/vesteinn/ScandiBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2243
- F1-score: 0.7419

## 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   | 297  | 0.9412          | 0.6171   |
| 0.9566        | 2.0   | 594  | 0.8714          | 0.6663   |
| 0.9566        | 3.0   | 891  | 0.8782          | 0.6326   |
| 0.7393        | 4.0   | 1188 | 1.0449          | 0.7003   |
| 0.7393        | 5.0   | 1485 | 0.9099          | 0.7046   |
| 0.5862        | 6.0   | 1782 | 0.8663          | 0.7145   |
| 0.4349        | 7.0   | 2079 | 1.3081          | 0.6875   |
| 0.4349        | 8.0   | 2376 | 1.3457          | 0.7119   |
| 0.3452        | 9.0   | 2673 | 1.2243          | 0.7419   |
| 0.3452        | 10.0  | 2970 | 1.3430          | 0.7227   |
| 0.2313        | 11.0  | 3267 | 1.5762          | 0.7273   |
| 0.1486        | 12.0  | 3564 | 1.5626          | 0.7295   |
| 0.1486        | 13.0  | 3861 | 1.8689          | 0.7113   |
| 0.0888        | 14.0  | 4158 | 1.9944          | 0.7161   |
| 0.0888        | 15.0  | 4455 | 1.9063          | 0.7115   |
| 0.0647        | 16.0  | 4752 | 2.0000          | 0.7283   |
| 0.0288        | 17.0  | 5049 | 2.0464          | 0.7278   |
| 0.0288        | 18.0  | 5346 | 2.0158          | 0.7319   |
| 0.0334        | 19.0  | 5643 | 2.0396          | 0.7324   |
| 0.0334        | 20.0  | 5940 | 2.0772          | 0.7245   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2