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---
tags:
- generated_from_keras_callback
model-index:
- name: wikibert-ten
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. -->
# wikibert-ten
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 8.0044
- Validation Loss: 8.0857
- 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 | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 8.1459 | 8.0861 | 0 |
| 8.0552 | 8.0951 | 1 |
| 8.0471 | 8.0924 | 2 |
| 8.0371 | 8.0916 | 3 |
| 8.0238 | 8.1087 | 4 |
| 8.0357 | 8.0828 | 5 |
| 8.0138 | 8.1030 | 6 |
| 8.0081 | 8.1145 | 7 |
| 8.0061 | 8.1055 | 8 |
| 8.0044 | 8.0857 | 9 |
### Framework versions
- Transformers 4.37.0
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.1
|