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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert-base-german-cased-gnad10-finetuned-tagesschau-subcategories
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-german-cased-gnad10-finetuned-tagesschau-subcategories
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This model is a fine-tuned version of [Mathking/bert-base-german-cased-gnad10](https://huggingface.co/Mathking/bert-base-german-cased-gnad10) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4725
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- Accuracy: 0.8667
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.3043 | 0.4 | 30 | 0.8691 | 0.7533 |
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| 0.74 | 0.8 | 60 | 0.5307 | 0.82 |
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| 0.4729 | 1.2 | 90 | 0.4614 | 0.8133 |
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| 0.3212 | 1.6 | 120 | 0.5641 | 0.8067 |
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| 0.379 | 2.0 | 150 | 0.4321 | 0.8467 |
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| 0.1906 | 2.4 | 180 | 0.4359 | 0.8667 |
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| 0.164 | 2.8 | 210 | 0.5124 | 0.8133 |
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| 0.1294 | 3.2 | 240 | 0.4615 | 0.8533 |
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| 0.1393 | 3.6 | 270 | 0.4725 | 0.8667 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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