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---
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
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