End of training

README.md

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+---
+license: cc-by-4.0
+base_model: NbAiLab/nb-bert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: nbbert_NCS
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nbbert_NCS
+
+This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4645
+- F1-score: 0.7958
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5085        | 1.0   | 504  | 0.4645          | 0.7958   |
+| 0.4027        | 2.0   | 1008 | 0.4524          | 0.7897   |
+| 0.2655        | 3.0   | 1512 | 0.5993          | 0.7929   |
+| 0.1758        | 4.0   | 2016 | 0.8533          | 0.7890   |
+| 0.1048        | 5.0   | 2520 | 1.0830          | 0.7757   |
+| 0.0536        | 6.0   | 3024 | 1.2138          | 0.7876   |
+| 0.0438        | 7.0   | 3528 | 1.3657          | 0.7818   |
+| 0.0162        | 8.0   | 4032 | 1.4657          | 0.7843   |
+| 0.0151        | 9.0   | 4536 | 1.5118          | 0.7850   |
+| 0.0086        | 10.0  | 5040 | 1.5580          | 0.7814   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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