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---
tags:
- generated_from_keras_callback
model-index:
- name: bhattronak/my-awesome-address-tokenizer-model
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
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4606
- Validation Loss: 0.4549
- Train Precision: 0.8074
- Train Recall: 0.8447
- Train F1: 0.8256
- Train Accuracy: 0.8427
- 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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 1.1892 | 0.6671 | 0.7283 | 0.7609 | 0.7442 | 0.7679 | 0 |
| 0.5806 | 0.4944 | 0.7938 | 0.8292 | 0.8111 | 0.8275 | 1 |
| 0.4606 | 0.4549 | 0.8074 | 0.8447 | 0.8256 | 0.8427 | 2 |
### Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
|