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--- |
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license: cc-by-4.0 |
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base_model: NbAiLab/nb-bert-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: nbbert_NCS |
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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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# nbbert_NCS |
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This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4645 |
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- F1-score: 0.7958 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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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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| 0.5085 | 1.0 | 504 | 0.4645 | 0.7958 | |
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| 0.4027 | 2.0 | 1008 | 0.4524 | 0.7897 | |
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| 0.2655 | 3.0 | 1512 | 0.5993 | 0.7929 | |
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| 0.1758 | 4.0 | 2016 | 0.8533 | 0.7890 | |
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| 0.1048 | 5.0 | 2520 | 1.0830 | 0.7757 | |
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| 0.0536 | 6.0 | 3024 | 1.2138 | 0.7876 | |
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| 0.0438 | 7.0 | 3528 | 1.3657 | 0.7818 | |
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| 0.0162 | 8.0 | 4032 | 1.4657 | 0.7843 | |
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| 0.0151 | 9.0 | 4536 | 1.5118 | 0.7850 | |
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| 0.0086 | 10.0 | 5040 | 1.5580 | 0.7814 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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