| --- |
| license: mit |
| base_model: microsoft/deberta-base |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: INTENT |
| 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. --> |
|
|
| # INTENT |
| This is intent classification for enquiry of customer order service, |
|
|
| Features such as placing, Tracking and managment of orders, - |
| Handles payment issues such as making and refund of payment - |
| Options for delivery , address for shipping and also account management like editing, update account and delete account - - |
| Options for contacting human agent - |
|
|
| You can also sends complaints here - |
|
|
| model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0084 |
| - Train Accuracy: 0.9987 |
| - Validation Loss: 0.0019 |
| - Validation Accuracy: 0.9995 |
| - Epoch: 1 |
|
|
| ## Model description |
| Enter intent , you will get the label number depicting the intent |
| - 'get_refund': 0, |
| - 'change_order': 1, |
| - 'contact_customer_service': 2, |
| - 'recover_password': 3, |
| - 'create_account': 4, |
| - 'check_invoices': 5, |
| - 'payment_issue': 6, |
| - 'place_order': 7, |
| - 'delete_account': 8, |
| - 'set_up_shipping_address': 9, |
| - 'delivery_options': 10, |
| - 'track_order': 11, |
| - 'change_shipping_address': 12, |
| - 'track_refund': 13, |
| - 'check_refund_policy': 14, |
| - 'review': 15, |
| - 'contact_human_agent': 16, |
| - 'delivery_period': 17, |
| - 'edit_account': 18, |
| - 'registration_problems': 19, |
| - 'get_invoice': 20, |
| - 'switch_account': 21, |
| - 'cancel_order': 22, |
| - 'check_payment_methods': 23, |
| - 'check_cancellation_fee': 24, |
| - 'newsletter_subscription': 25, |
| - 'complaint': 26 |
| |
| |
| |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, '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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2690, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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 | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 0.2113 | 0.9544 | 0.0056 | 0.9995 | 0 | |
| | 0.0084 | 0.9987 | 0.0019 | 0.9995 | 1 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - TensorFlow 2.15.0 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
| |
