metadata
license: mit
tags:
- generated_from_trainer
datasets:
- germanquad
model-index:
- name: bert-base-german-cased-finetuned-squad
results: []
bert-base-german-cased-finetuned-squad
This model is a fine-tuned version of bert-base-german-cased on the germanquad dataset. It achieves the following results on the evaluation set:
- Loss: 2.5837
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 360 | 1.7190 |
| 2.7136 | 2.0 | 720 | 1.6624 |
| 1.3704 | 3.0 | 1080 | 1.6460 |
| 1.3704 | 4.0 | 1440 | 1.9336 |
| 0.7467 | 5.0 | 1800 | 2.0047 |
| 0.4077 | 6.0 | 2160 | 2.1701 |
| 0.2468 | 7.0 | 2520 | 2.3223 |
| 0.2468 | 8.0 | 2880 | 2.4638 |
| 0.1475 | 9.0 | 3240 | 2.5493 |
| 0.1023 | 10.0 | 3600 | 2.5837 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2