| | --- |
| | license: mit |
| | base_model: microsoft/deberta-v3-xsmall |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: reem442/T5 |
| | 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. --> |
| |
|
| | # reem442/T5 |
| |
|
| | This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.2094 |
| | - Train Accuracy: 0.934 |
| | - Validation Loss: 0.2149 |
| | - Validation Accuracy: 0.9340 |
| | - Train Precision: 0.9362 |
| | - Train Recall: 0.934 |
| | - Train F1: 0.9336 |
| | - 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': 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': 5000, '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 | Train Precision | Train Recall | Train F1 | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:| |
| | | 0.9979 | 0.88 | 0.3892 | 0.8800 | 0.8846 | 0.88 | 0.8791 | 0 | |
| | | 0.3015 | 0.9115 | 0.2843 | 0.9115 | 0.9169 | 0.9115 | 0.9111 | 1 | |
| | | 0.2094 | 0.934 | 0.2149 | 0.9340 | 0.9362 | 0.934 | 0.9336 | 2 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - TensorFlow 2.15.0 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
