---
tags:
- generated_from_keras_callback
model-index:
- name: bhattronak/my-awesome-address-tokenizer-model-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. -->

# bhattronak/my-awesome-address-tokenizer-model-v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4448
- Validation Loss: 0.4385
- Train Precision: 0.8173
- Train Recall: 0.8495
- Train F1: 0.8331
- Train Accuracy: 0.8510
- Epoch: 2

## 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': 489, '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: float32

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 1.1961     | 0.6422          | 0.7391          | 0.7729       | 0.7556   | 0.7799         | 0     |
| 0.5690     | 0.4755          | 0.7781          | 0.8436       | 0.8095   | 0.8383         | 1     |
| 0.4448     | 0.4385          | 0.8173          | 0.8495       | 0.8331   | 0.8510         | 2     |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1