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--- |
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base_model: MiMe-MeMo/MeMo-BERT-03 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MeMo-BERT-WSD |
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results: [] |
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language: da |
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widget: |
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- 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 ." |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# MeMo-BERT-WSD |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1503 |
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- F1-score: 0.5541 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 61 | 1.3445 | 0.2569 | |
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| No log | 2.0 | 122 | 1.0424 | 0.5124 | |
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| No log | 3.0 | 183 | 1.1609 | 0.5304 | |
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| No log | 4.0 | 244 | 1.3851 | 0.5389 | |
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| No log | 5.0 | 305 | 1.9822 | 0.4456 | |
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| No log | 6.0 | 366 | 2.0347 | 0.4914 | |
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| No log | 7.0 | 427 | 2.9891 | 0.4419 | |
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| No log | 8.0 | 488 | 2.5316 | 0.5183 | |
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| 0.4858 | 9.0 | 549 | 2.5900 | 0.5419 | |
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| 0.4858 | 10.0 | 610 | 2.9300 | 0.5051 | |
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| 0.4858 | 11.0 | 671 | 3.0018 | 0.5211 | |
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| 0.4858 | 12.0 | 732 | 3.0486 | 0.5109 | |
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| 0.4858 | 13.0 | 793 | 3.0887 | 0.5337 | |
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| 0.4858 | 14.0 | 854 | 3.1180 | 0.5441 | |
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| 0.4858 | 15.0 | 915 | 3.1503 | 0.5541 | |
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| 0.4858 | 16.0 | 976 | 3.1649 | 0.5436 | |
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| 0.0041 | 17.0 | 1037 | 3.1925 | 0.5436 | |
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| 0.0041 | 18.0 | 1098 | 3.2019 | 0.5436 | |
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| 0.0041 | 19.0 | 1159 | 3.2089 | 0.5436 | |
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| 0.0041 | 20.0 | 1220 | 3.2116 | 0.5436 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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