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---
license: mit
base_model: google-bert/bert-base-german-cased
tags:
- generated_from_keras_callback
model-index:
- name: BERT-case-german-tng
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# BERT-case-german-tng
This model is a fine-tuned version of [google-bert/bert-base-german-cased](https://huggingface.co/google-bert/bert-base-german-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4860
- Epoch: 9
## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Epoch |
|:----------:|:-----:|
| 1.4723 | 0 |
| 0.5138 | 1 |
| 0.4985 | 2 |
| 0.4938 | 3 |
| 0.4931 | 4 |
| 0.4906 | 5 |
| 0.4899 | 6 |
| 0.4884 | 7 |
| 0.4879 | 8 |
| 0.4860 | 9 |
### Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Tokenizers 0.19.1
|