---
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