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---
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: 0.0125
- Train Accuracy: 0.9925
- Validation Loss: 0.7941
- Validation Accuracy: 0.8797
- Epoch: 26
## 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 |
| 0.0140 | 0.9923 | 0.7335 | 0.8722 | 17 |
| 0.0138 | 0.9915 | 0.7297 | 0.8722 | 18 |
| 0.0143 | 0.9908 | 0.7030 | 0.8759 | 19 |
| 0.0140 | 0.9906 | 0.7420 | 0.8759 | 20 |
| 0.0134 | 0.9915 | 0.7419 | 0.8759 | 21 |
| 0.0134 | 0.9913 | 0.7448 | 0.8835 | 22 |
| 0.0132 | 0.9915 | 0.7791 | 0.8722 | 23 |
| 0.0131 | 0.9923 | 0.7567 | 0.8797 | 24 |
| 0.0134 | 0.9915 | 0.7809 | 0.8797 | 25 |
| 0.0125 | 0.9925 | 0.7941 | 0.8797 | 26 |
### Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Tokenizers 0.13.3
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