| --- |
| license: mit |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: europython-imdb |
| 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. --> |
|
|
| # europython-imdb |
|
|
| This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.1279 |
| - Train Accuracy: 0.9548 |
| - Validation Loss: 0.1595 |
| - Validation Accuracy: 0.9418 |
| - Epoch: 1 |
|
|
| ## 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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| - training_precision: float32 |
|
|
| ### Training results |
|
|
| | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 0.2073 | 0.9203 | 0.1486 | 0.9435 | 0 | |
| | 0.1279 | 0.9548 | 0.1595 | 0.9418 | 1 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.21.0.dev0 |
| - TensorFlow 2.9.1 |
| - Datasets 2.3.3.dev0 |
| - Tokenizers 0.11.0 |
|
|
