---
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA
  results: []
language: da
widget:
  - text: >-
      Men endnu sad hun , bleg og skælvende , ved vinduet og lyttede med rædsel i sit blikat en den urolige i de !
---

<!-- 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

This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5938
- F1-score: 0.7727

## 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   | 265  | 0.5938          | 0.7727   |
| 0.591         | 2.0   | 530  | 0.9487          | 0.7515   |
| 0.591         | 3.0   | 795  | 1.1555          | 0.7375   |
| 0.1867        | 4.0   | 1060 | 1.2892          | 0.7773   |
| 0.1867        | 5.0   | 1325 | 1.3791          | 0.7929   |
| 0.0582        | 6.0   | 1590 | 1.5941          | 0.7810   |
| 0.0582        | 7.0   | 1855 | 1.8173          | 0.7751   |
| 0.0166        | 8.0   | 2120 | 1.7725          | 0.7885   |
| 0.0166        | 9.0   | 2385 | 1.7669          | 0.7939   |
| 0.0102        | 10.0  | 2650 | 1.7915          | 0.7933   |
| 0.0102        | 11.0  | 2915 | 1.9139          | 0.7848   |
| 0.0088        | 12.0  | 3180 | 1.9446          | 0.7816   |
| 0.0088        | 13.0  | 3445 | 1.9794          | 0.7793   |
| 0.0124        | 14.0  | 3710 | 1.9904          | 0.7946   |
| 0.0124        | 15.0  | 3975 | 2.0188          | 0.7831   |
| 0.0095        | 16.0  | 4240 | 2.0517          | 0.7850   |
| 0.0001        | 17.0  | 4505 | 2.0427          | 0.7793   |
| 0.0001        | 18.0  | 4770 | 2.0205          | 0.7902   |
| 0.0           | 19.0  | 5035 | 2.0280          | 0.7847   |
| 0.0           | 20.0  | 5300 | 2.0466          | 0.7793   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1