|
--- |
|
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 |
|
|