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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-SA |
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results: [] |
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language: da |
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widget: |
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- text: >- |
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Men endnu sad hun , bleg og skælvende , ved vinduet og lyttede med rædsel i sit blikat en den urolige i de ! |
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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-SA |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5938 |
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- F1-score: 0.7727 |
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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 | 265 | 0.5938 | 0.7727 | |
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| 0.591 | 2.0 | 530 | 0.9487 | 0.7515 | |
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| 0.591 | 3.0 | 795 | 1.1555 | 0.7375 | |
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| 0.1867 | 4.0 | 1060 | 1.2892 | 0.7773 | |
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| 0.1867 | 5.0 | 1325 | 1.3791 | 0.7929 | |
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| 0.0582 | 6.0 | 1590 | 1.5941 | 0.7810 | |
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| 0.0582 | 7.0 | 1855 | 1.8173 | 0.7751 | |
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| 0.0166 | 8.0 | 2120 | 1.7725 | 0.7885 | |
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| 0.0166 | 9.0 | 2385 | 1.7669 | 0.7939 | |
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| 0.0102 | 10.0 | 2650 | 1.7915 | 0.7933 | |
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| 0.0102 | 11.0 | 2915 | 1.9139 | 0.7848 | |
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| 0.0088 | 12.0 | 3180 | 1.9446 | 0.7816 | |
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| 0.0088 | 13.0 | 3445 | 1.9794 | 0.7793 | |
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| 0.0124 | 14.0 | 3710 | 1.9904 | 0.7946 | |
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| 0.0124 | 15.0 | 3975 | 2.0188 | 0.7831 | |
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| 0.0095 | 16.0 | 4240 | 2.0517 | 0.7850 | |
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| 0.0001 | 17.0 | 4505 | 2.0427 | 0.7793 | |
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| 0.0001 | 18.0 | 4770 | 2.0205 | 0.7902 | |
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| 0.0 | 19.0 | 5035 | 2.0280 | 0.7847 | |
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| 0.0 | 20.0 | 5300 | 2.0466 | 0.7793 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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