| --- |
| 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 |
| |
