Training completed!
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README.md
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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:
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- Accuracy: 0.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 64
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- eval_batch_size: 64
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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### Framework versions
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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: 2.9423
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- Accuracy: 0.4952
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- F1: 0.5454
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## Model description
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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: 64
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- eval_batch_size: 64
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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 | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| 0.9231 | 0.9831 | 58 | 1.3925 | 0.4351 | 0.5393 |
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| 0.4828 | 1.9661 | 116 | 1.9050 | 0.5 | 0.5349 |
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| 0.1764 | 2.9492 | 174 | 2.3104 | 0.5481 | 0.5584 |
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| 0.0737 | 3.9322 | 232 | 2.6077 | 0.5312 | 0.5683 |
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| 0.0297 | 4.9153 | 290 | 2.9423 | 0.4952 | 0.5454 |
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### Framework versions
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model.safetensors
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