End of training
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: smanjil/German-MedBERT
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: German-MedBERT
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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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# German-MedBERT
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This model is a fine-tuned version of [smanjil/German-MedBERT](https://huggingface.co/smanjil/German-MedBERT) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6756
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- F1: 0.5231
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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-06
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- train_batch_size: 8
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- eval_batch_size: 8
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6685 | 1.0 | 189 | 0.6026 | 0.0 |
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| 0.6161 | 2.0 | 378 | 0.5464 | 0.2326 |
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| 0.569 | 3.0 | 567 | 0.5510 | 0.2273 |
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| 0.5636 | 4.0 | 756 | 0.5546 | 0.3704 |
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| 0.5668 | 5.0 | 945 | 0.5323 | 0.4571 |
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| 0.4882 | 6.0 | 1134 | 0.7460 | 0.3265 |
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| 0.5819 | 7.0 | 1323 | 0.6150 | 0.4776 |
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| 0.4747 | 8.0 | 1512 | 0.6596 | 0.4923 |
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| 0.5035 | 9.0 | 1701 | 0.6764 | 0.5 |
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| 0.463 | 10.0 | 1890 | 0.6756 | 0.5231 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 436400366
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version https://git-lfs.github.com/spec/v1
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size 436400366
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