---
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-03
  results: []
language: da        # <-- my language
widget:
 - text: "Men havde Gud vendt sig fra ham , saa kunde han ogsaa vende sig fra Gud . Havde Gud ingen Øren , saa havde han heller ingen Læber , havde Gud ingen Naade , saa havde han heller ingen Tilbedelse , og han trodsede og viste Gud ud af sit Hjærte ."


---

<!-- 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-WSD-03

This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on https://huggingface.co/MiMe-MeMo/MeMo-Dataset-WSD dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7403
- F1-score: 0.5317

## 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   | 61   | 1.5313          | 0.2765   |
| No log        | 2.0   | 122  | 1.1618          | 0.3798   |
| No log        | 3.0   | 183  | 1.1259          | 0.4814   |
| No log        | 4.0   | 244  | 1.3069          | 0.4656   |
| No log        | 5.0   | 305  | 1.9109          | 0.4598   |
| No log        | 6.0   | 366  | 2.0905          | 0.4766   |
| No log        | 7.0   | 427  | 2.3842          | 0.4609   |
| No log        | 8.0   | 488  | 2.7403          | 0.5317   |
| 0.5392        | 9.0   | 549  | 2.6113          | 0.4633   |
| 0.5392        | 10.0  | 610  | 3.0131          | 0.5016   |
| 0.5392        | 11.0  | 671  | 2.8423          | 0.5196   |
| 0.5392        | 12.0  | 732  | 2.9776          | 0.4876   |
| 0.5392        | 13.0  | 793  | 2.9717          | 0.4881   |
| 0.5392        | 14.0  | 854  | 2.9801          | 0.4887   |
| 0.5392        | 15.0  | 915  | 3.0105          | 0.4669   |
| 0.5392        | 16.0  | 976  | 3.0355          | 0.4887   |
| 0.0089        | 17.0  | 1037 | 3.0591          | 0.4887   |
| 0.0089        | 18.0  | 1098 | 3.0704          | 0.4887   |
| 0.0089        | 19.0  | 1159 | 3.0760          | 0.5012   |
| 0.0089        | 20.0  | 1220 | 3.0780          | 0.5012   |


### Framework versions

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