---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: ashhadahsan/amazon-subtheme-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-subtheme-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: 0.0792
- Train Accuracy: 1.0
- Validation Loss: 2.4572
- Validation Accuracy: 0.5641
- Epoch: 12

## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 3.5410     | 0.2497         | 3.0774          | 0.3333              | 0     |
| 2.3876     | 0.4804         | 2.5436          | 0.4103              | 1     |
| 1.5296     | 0.6930         | 2.3390          | 0.5128              | 2     |
| 1.0298     | 0.8158         | 2.3983          | 0.4615              | 3     |
| 0.7194     | 0.8971         | 2.4036          | 0.4615              | 4     |
| 0.5206     | 0.9362         | 2.4724          | 0.4359              | 5     |
| 0.3701     | 0.9669         | 2.4493          | 0.4872              | 6     |
| 0.2738     | 0.9841         | 2.3969          | 0.5641              | 7     |
| 0.2040     | 0.9929         | 2.4391          | 0.5641              | 8     |
| 0.1544     | 0.9966         | 2.4575          | 0.5641              | 9     |
| 0.1210     | 0.9993         | 2.4725          | 0.5385              | 10    |
| 0.0968     | 1.0            | 2.4445          | 0.5385              | 11    |
| 0.0792     | 1.0            | 2.4572          | 0.5641              | 12    |


### Framework versions

- Transformers 4.33.0
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3