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---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: Ruth/gelectra-large-germeval_14
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. -->
# Ruth/gelectra-large-germeval_14
This model is a fine-tuned version of [deepset/gelectra-large](https://huggingface.co/deepset/gelectra-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0194
- Validation Loss: 0.1153
- Epoch: 4
## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 12750, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.1998 | 0.0986 | 0 |
| 0.0753 | 0.1003 | 1 |
| 0.0448 | 0.1035 | 2 |
| 0.0280 | 0.1137 | 3 |
| 0.0194 | 0.1153 | 4 |
### Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.2
- Datasets 1.18.0
- Tokenizers 0.12.1
|