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bert-base-german-cased-germeval2024

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  1. README.md +10 -7
  2. model.safetensors +1 -1
  3. runs/Jun27_17-26-00_08dfcbce2522/events.out.tfevents.1719509163.08dfcbce2522.716.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.3680
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- - Accuracy: 0.4832
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- - F1: 0.5421
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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: 2e-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: 2
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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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- | 1.0537 | 0.9831 | 58 | 1.2805 | 0.5144 | 0.5562 |
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- | 0.7273 | 1.9661 | 116 | 1.3680 | 0.4832 | 0.5421 |
 
 
 
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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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