---
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/mobilebert-uncased-squad-v2
  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/mobilebert-uncased-squad-v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1074
- Validation Loss: 0.0
- Epoch: 17

## 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': 1e-05, 'decay_steps': 2600, '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': 0.02}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.3940     | 0.0             | 0     |
| 0.3436     | 0.0             | 1     |
| 0.3085     | 0.0             | 2     |
| 0.2538     | 0.0             | 3     |
| 0.2472     | 0.0             | 4     |
| 0.2225     | 0.0             | 5     |
| 0.2025     | 0.0             | 6     |
| 0.1712     | 0.0             | 7     |
| 0.1781     | 0.0             | 8     |
| 0.1583     | 0.0             | 9     |
| 0.1464     | 0.0             | 10    |
| 0.1299     | 0.0             | 11    |
| 0.1510     | 0.0             | 12    |
| 0.1181     | 0.0             | 13    |
| 0.1138     | 0.0             | 14    |
| 0.1144     | 0.0             | 15    |
| 0.1027     | 0.0             | 16    |
| 0.1074     | 0.0             | 17    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0