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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert-base-german-cased-20000-ner
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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-20000-ner
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This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0527
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- Precision: 0.7423
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- Recall: 0.8643
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- F1: 0.7987
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- Accuracy: 0.9879
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0.1 | 64 | 0.0867 | 0.5127 | 0.8679 | 0.6446 | 0.975 |
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| No log | 0.19 | 128 | 0.0539 | 0.4549 | 0.8643 | 0.5961 | 0.9774 |
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| No log | 0.29 | 192 | 0.0382 | 0.7763 | 0.8429 | 0.8082 | 0.9902 |
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| No log | 0.38 | 256 | 0.0405 | 0.7697 | 0.8714 | 0.8174 | 0.9898 |
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| No log | 0.48 | 320 | 0.0292 | 0.8027 | 0.8429 | 0.8223 | 0.9923 |
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| No log | 0.58 | 384 | 0.0478 | 0.7227 | 0.875 | 0.7916 | 0.9875 |
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| No log | 0.67 | 448 | 0.0293 | 0.7774 | 0.8107 | 0.7937 | 0.9918 |
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| 0.09 | 0.77 | 512 | 0.0527 | 0.7423 | 0.8643 | 0.7987 | 0.9879 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.9.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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