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_ED1
+  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_ED1
+
+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: 0.4147
+- F1-score: 0.8769
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 69   | 0.7063          | 0.3425   |
+| No log        | 2.0   | 138  | 0.6562          | 0.4700   |
+| No log        | 3.0   | 207  | 0.5758          | 0.8114   |
+| No log        | 4.0   | 276  | 0.4802          | 0.8441   |
+| No log        | 5.0   | 345  | 0.4557          | 0.8096   |
+| No log        | 6.0   | 414  | 0.4620          | 0.8597   |
+| No log        | 7.0   | 483  | 0.4147          | 0.8769   |
+| 0.4906        | 8.0   | 552  | 0.5979          | 0.8442   |
+| 0.4906        | 9.0   | 621  | 0.6290          | 0.8432   |
+| 0.4906        | 10.0  | 690  | 0.5401          | 0.8443   |
+| 0.4906        | 11.0  | 759  | 0.5805          | 0.8606   |
+| 0.4906        | 12.0  | 828  | 0.6075          | 0.8688   |
+| 0.4906        | 13.0  | 897  | 0.7802          | 0.8436   |
+| 0.4906        | 14.0  | 966  | 0.7530          | 0.8432   |
+| 0.1795        | 15.0  | 1035 | 0.6979          | 0.8606   |
+| 0.1795        | 16.0  | 1104 | 0.7619          | 0.8524   |
+| 0.1795        | 17.0  | 1173 | 0.7760          | 0.8525   |
+| 0.1795        | 18.0  | 1242 | 0.8060          | 0.8525   |
+| 0.1795        | 19.0  | 1311 | 0.8363          | 0.8525   |
+| 0.1795        | 20.0  | 1380 | 0.8305          | 0.8525   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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