metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-german-cased
results: []
bert-base-german-cased
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0063
- Accuracy: 0.9973
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 410 | 0.0146 | 0.9973 |
| 0.1983 | 2.0 | 820 | 0.0063 | 0.9973 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0