---
license: apache-2.0
base_model: badokorach/bert-finetuned-squad
tags:
- generated_from_keras_callback
model-index:
- name: EricPeter/bert-finetuned-squad-v22
  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. -->

# EricPeter/bert-finetuned-squad-v22

This model is a fine-tuned version of [badokorach/bert-finetuned-squad](https://huggingface.co/badokorach/bert-finetuned-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0121
- Epoch: 29

## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1950, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 2.6826     | 0     |
| 1.9953     | 1     |
| 1.5543     | 2     |
| 1.2287     | 3     |
| 0.8953     | 4     |
| 0.6043     | 5     |
| 0.3745     | 6     |
| 0.2298     | 7     |
| 0.1536     | 8     |
| 0.1098     | 9     |
| 0.0987     | 10    |
| 0.0683     | 11    |
| 0.0609     | 12    |
| 0.0473     | 13    |
| 0.0345     | 14    |
| 0.0353     | 15    |
| 0.0294     | 16    |
| 0.0232     | 17    |
| 0.0243     | 18    |
| 0.0170     | 19    |
| 0.0190     | 20    |
| 0.0111     | 21    |
| 0.0138     | 22    |
| 0.0078     | 23    |
| 0.0143     | 24    |
| 0.0095     | 25    |
| 0.0112     | 26    |
| 0.0092     | 27    |
| 0.0116     | 28    |
| 0.0121     | 29    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.0
- Tokenizers 0.13.3