---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/bert-finetuned-squad-1
  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. -->

# badokorach/bert-finetuned-squad-1

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0002
- Epoch: 19

## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 45240, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 0.0036     | 0     |
| 0.0026     | 1     |
| 0.0008     | 2     |
| 0.0019     | 3     |
| 0.0004     | 4     |
| 0.0004     | 5     |
| 0.0004     | 6     |
| 0.0003     | 7     |
| 0.0002     | 8     |
| 0.0001     | 9     |
| 0.0001     | 10    |
| 0.0001     | 11    |
| 0.0002     | 12    |
| 0.0001     | 13    |
| 0.0001     | 14    |
| 0.0004     | 15    |
| 0.0002     | 16    |
| 0.0001     | 17    |
| 0.0002     | 18    |
| 0.0002     | 19    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.13.0
- Datasets 2.14.4
- Tokenizers 0.13.3