---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: ashhadahsan/amazon-theme-bert-base-finetuned-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-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: 0.0341
- Train Accuracy: 1.0
- Validation Loss: 1.5032
- Validation Accuracy: 0.6667
- 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.9295     | 0.4297         | 1.7895          | 0.4656              | 0     |
| 1.5562     | 0.5650         | 1.6742          | 0.4762              | 1     |
| 1.2099     | 0.6552         | 1.5047          | 0.5450              | 2     |
| 0.8859     | 0.7825         | 1.3883          | 0.6138              | 3     |
| 0.6078     | 0.8753         | 1.3384          | 0.5926              | 4     |
| 0.4276     | 0.9271         | 1.5709          | 0.5397              | 5     |
| 0.3208     | 0.9536         | 1.4246          | 0.6349              | 6     |
| 0.2201     | 0.9748         | 1.5447          | 0.6190              | 7     |
| 0.1663     | 0.9814         | 1.5030          | 0.6455              | 8     |
| 0.1302     | 0.9867         | 1.4468          | 0.6349              | 9     |
| 0.0990     | 0.9881         | 1.4503          | 0.6349              | 10    |
| 0.0812     | 0.9920         | 1.4135          | 0.6667              | 11    |
| 0.0655     | 0.9934         | 1.4341          | 0.6720              | 12    |
| 0.0560     | 0.9960         | 1.4613          | 0.6561              | 13    |
| 0.0468     | 0.9973         | 1.4622          | 0.6720              | 14    |
| 0.0403     | 0.9987         | 1.4927          | 0.6667              | 15    |
| 0.0341     | 1.0            | 1.5032          | 0.6667              | 16    |


### Framework versions

- Transformers 4.34.1
- TensorFlow 2.12.0
- Datasets 2.14.5
- Tokenizers 0.14.1