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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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datasets: |
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- germanquad |
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model-index: |
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- name: bert-base-german-cased-finetuned-squad |
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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-finetuned-squad |
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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 germanquad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5837 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 360 | 1.7190 | |
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| 2.7136 | 2.0 | 720 | 1.6624 | |
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| 1.3704 | 3.0 | 1080 | 1.6460 | |
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| 1.3704 | 4.0 | 1440 | 1.9336 | |
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| 0.7467 | 5.0 | 1800 | 2.0047 | |
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| 0.4077 | 6.0 | 2160 | 2.1701 | |
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| 0.2468 | 7.0 | 2520 | 2.3223 | |
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| 0.2468 | 8.0 | 2880 | 2.4638 | |
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| 0.1475 | 9.0 | 3240 | 2.5493 | |
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| 0.1023 | 10.0 | 3600 | 2.5837 | |
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### Framework versions |
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- Transformers 4.27.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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