End of training

README.md

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+---
+library_name: transformers
+license: cc-by-4.0
+base_model: NbAiLab/nb-bert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: nbbert_ED3
+  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_ED3
+
+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: 0.3621
+- F1-score: 0.8846
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 69   | 0.5867          | 0.7748   |
+| No log        | 2.0   | 138  | 0.4927          | 0.8030   |
+| No log        | 3.0   | 207  | 0.3621          | 0.8846   |
+| No log        | 4.0   | 276  | 0.3917          | 0.8358   |
+| No log        | 5.0   | 345  | 0.5062          | 0.8442   |
+| No log        | 6.0   | 414  | 0.7493          | 0.8187   |
+| No log        | 7.0   | 483  | 0.7768          | 0.8262   |
+| 0.4016        | 8.0   | 552  | 0.9187          | 0.8262   |
+| 0.4016        | 9.0   | 621  | 0.9876          | 0.8107   |
+| 0.4016        | 10.0  | 690  | 1.0521          | 0.7946   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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