End of training

README.md

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+---
+license: cc-by-4.0
+base_model: Maltehb/danish-bert-botxo
+tags:
+- generated_from_trainer
+model-index:
+- name: MeMo_BERT-WSD-danish-bert-botxo
+  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. -->
+
+# MeMo_BERT-WSD-danish-bert-botxo
+
+This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4175
+- F1-score: 0.1942
+
+## 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   | 61   | 1.4175          | 0.1942   |
+| No log        | 2.0   | 122  | 1.4359          | 0.1229   |
+| No log        | 3.0   | 183  | 1.4326          | 0.1477   |
+| No log        | 4.0   | 244  | 1.3837          | 0.1229   |
+| No log        | 5.0   | 305  | 1.3969          | 0.1229   |
+| No log        | 6.0   | 366  | 1.4012          | 0.1229   |
+| No log        | 7.0   | 427  | 1.3349          | 0.1229   |
+| No log        | 8.0   | 488  | 1.3937          | 0.1229   |
+| 1.301         | 9.0   | 549  | 1.3602          | 0.1229   |
+| 1.301         | 10.0  | 610  | 1.4346          | 0.1229   |
+| 1.301         | 11.0  | 671  | 1.3953          | 0.1229   |
+| 1.301         | 12.0  | 732  | 1.4039          | 0.1229   |
+| 1.301         | 13.0  | 793  | 1.3816          | 0.1229   |
+| 1.301         | 14.0  | 854  | 1.3988          | 0.1229   |
+| 1.301         | 15.0  | 915  | 1.4007          | 0.1229   |
+| 1.301         | 16.0  | 976  | 1.3924          | 0.1229   |
+| 1.278         | 17.0  | 1037 | 1.4031          | 0.1229   |
+| 1.278         | 18.0  | 1098 | 1.3957          | 0.1229   |
+| 1.278         | 19.0  | 1159 | 1.3956          | 0.1229   |
+| 1.278         | 20.0  | 1220 | 1.3970          | 0.1229   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/Mar19_12-07-36_9710328935b9/events.out.tfevents.1710850534.9710328935b9.451.14

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