---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: ashhadahsan/amazon-theme-bert-base-finetuned
  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. -->

# ashhadahsan/amazon-theme-bert-base-finetuned

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: 0.0142
- Train Accuracy: 0.9923
- Validation Loss: 0.7089
- Validation Accuracy: 0.8797
- Epoch: 16

## 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': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.3910     | 0.5974         | 0.8022          | 0.8008              | 0     |
| 0.2739     | 0.9554         | 0.6211          | 0.8609              | 1     |
| 0.0782     | 0.9885         | 0.5895          | 0.8609              | 2     |
| 0.0418     | 0.9913         | 0.5456          | 0.8797              | 3     |
| 0.0318     | 0.9908         | 0.5729          | 0.8797              | 4     |
| 0.0251     | 0.9906         | 0.5747          | 0.8797              | 5     |
| 0.0211     | 0.9913         | 0.5994          | 0.8797              | 6     |
| 0.0195     | 0.9906         | 0.6241          | 0.8797              | 7     |
| 0.0184     | 0.9911         | 0.6244          | 0.8797              | 8     |
| 0.0170     | 0.9904         | 0.6235          | 0.8797              | 9     |
| 0.0159     | 0.9913         | 0.6619          | 0.8797              | 10    |
| 0.0164     | 0.9913         | 0.6501          | 0.8797              | 11    |
| 0.0165     | 0.9911         | 0.6452          | 0.8835              | 12    |
| 0.0155     | 0.9908         | 0.6727          | 0.8872              | 13    |
| 0.0149     | 0.9904         | 0.6798          | 0.8835              | 14    |
| 0.0144     | 0.9906         | 0.6905          | 0.8797              | 15    |
| 0.0142     | 0.9923         | 0.7089          | 0.8797              | 16    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Tokenizers 0.13.3