| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Hyperledger_20_BERT_Over_Sampling |
| 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. --> |
|
|
| # Hyperledger_20_BERT_Over_Sampling |
|
|
| 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: 0.0420 |
| - Train Accuracy: 0.9866 |
| - Validation Loss: 0.7502 |
| - Validation Accuracy: 0.8444 |
| - Epoch: 2 |
|
|
| ## 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': False, '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 | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 0.4566 | 0.7724 | 0.5710 | 0.7376 | 0 | |
| | 0.0873 | 0.9735 | 0.6176 | 0.8662 | 1 | |
| | 0.0420 | 0.9866 | 0.7502 | 0.8444 | 2 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.29.2 |
| - TensorFlow 2.12.0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
| |
