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--- |
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license: cc-by-4.0 |
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base_model: Maltehb/danish-bert-botxo |
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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_botxo |
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results: [] |
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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_botxo |
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This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6385 |
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- F1-score: 0.7374 |
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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 | 297 | 0.7785 | 0.6992 | |
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| 0.7119 | 2.0 | 594 | 0.9146 | 0.6732 | |
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| 0.7119 | 3.0 | 891 | 1.4686 | 0.7087 | |
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| 0.2712 | 4.0 | 1188 | 1.5626 | 0.7091 | |
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| 0.2712 | 5.0 | 1485 | 1.9710 | 0.6548 | |
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| 0.09 | 6.0 | 1782 | 2.0442 | 0.7169 | |
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| 0.0273 | 7.0 | 2079 | 2.1153 | 0.7326 | |
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| 0.0273 | 8.0 | 2376 | 2.3741 | 0.7005 | |
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| 0.0071 | 9.0 | 2673 | 2.6151 | 0.6977 | |
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| 0.0071 | 10.0 | 2970 | 2.5560 | 0.7107 | |
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| 0.0112 | 11.0 | 3267 | 2.5697 | 0.7220 | |
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| 0.0063 | 12.0 | 3564 | 2.5956 | 0.7185 | |
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| 0.0063 | 13.0 | 3861 | 2.6383 | 0.7189 | |
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| 0.0001 | 14.0 | 4158 | 2.9775 | 0.6755 | |
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| 0.0001 | 15.0 | 4455 | 2.6557 | 0.7247 | |
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| 0.0044 | 16.0 | 4752 | 2.6788 | 0.7305 | |
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| 0.0023 | 17.0 | 5049 | 2.6385 | 0.7374 | |
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| 0.0023 | 18.0 | 5346 | 2.6750 | 0.7186 | |
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| 0.0025 | 19.0 | 5643 | 2.6821 | 0.7186 | |
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| 0.0025 | 20.0 | 5940 | 2.6820 | 0.7186 | |
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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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