End of training
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README.md
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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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