| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: topic_classification_03 |
| | 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. --> |
| |
|
| | # topic_classification_03 |
| |
|
| | This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 1.0459 |
| | - Train Sparse Categorical Accuracy: 0.6535 |
| | - Validation Loss: 1.1181 |
| | - Validation Sparse Categorical Accuracy: 0.6354 |
| | - Epoch: 5 |
| |
|
| | ## 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': 5e-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 Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
| | |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
| | | 1.2710 | 0.5838 | 1.1683 | 0.6156 | 0 | |
| | | 1.1546 | 0.6193 | 1.1376 | 0.6259 | 1 | |
| | | 1.1163 | 0.6314 | 1.1247 | 0.6292 | 2 | |
| | | 1.0888 | 0.6400 | 1.1253 | 0.6323 | 3 | |
| | | 1.0662 | 0.6473 | 1.1182 | 0.6344 | 4 | |
| | | 1.0459 | 0.6535 | 1.1181 | 0.6354 | 5 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.1 |
| | - TensorFlow 2.9.1 |
| | - Datasets 2.3.2 |
| | - Tokenizers 0.12.1 |
| |
|
