End of training

README.md

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+---
+license: cc-by-4.0
+base_model: vesteinn/DanskBERT
+tags:
+- generated_from_trainer
+model-index:
+- name: danskbert-FGN
+  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. -->
+
+# danskbert-FGN
+
+This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6479
+- F1-score: 0.8731
+
+## 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   | 120  | 0.4105          | 0.8402   |
+| No log        | 2.0   | 240  | 0.4530          | 0.8506   |
+| No log        | 3.0   | 360  | 0.6479          | 0.8731   |
+| No log        | 4.0   | 480  | 1.1574          | 0.8042   |
+| 0.3733        | 5.0   | 600  | 0.7922          | 0.8489   |
+| 0.3733        | 6.0   | 720  | 0.8570          | 0.8598   |
+| 0.3733        | 7.0   | 840  | 0.8900          | 0.8508   |
+| 0.3733        | 8.0   | 960  | 0.9645          | 0.8634   |
+| 0.0904        | 9.0   | 1080 | 1.1572          | 0.8294   |
+| 0.0904        | 10.0  | 1200 | 1.0706          | 0.8549   |
+| 0.0904        | 11.0  | 1320 | 1.0462          | 0.8675   |
+| 0.0904        | 12.0  | 1440 | 1.0676          | 0.8675   |
+| 0.034         | 13.0  | 1560 | 1.2254          | 0.8526   |
+| 0.034         | 14.0  | 1680 | 1.2085          | 0.8636   |
+| 0.034         | 15.0  | 1800 | 1.2398          | 0.8524   |
+| 0.034         | 16.0  | 1920 | 1.2987          | 0.8325   |
+| 0.01          | 17.0  | 2040 | 1.2628          | 0.8416   |
+| 0.01          | 18.0  | 2160 | 1.2489          | 0.8526   |
+| 0.01          | 19.0  | 2280 | 1.2504          | 0.8526   |
+| 0.01          | 20.0  | 2400 | 1.2521          | 0.8526   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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