| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: topic_classification_01 |
| | 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_01 |
| |
|
| | 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: 0.0306 |
| | - Train Binary Crossentropy: 0.5578 |
| | - Epoch: 9 |
| |
|
| | ## 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': 3e-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 Binary Crossentropy | Epoch | |
| | |:----------:|:-------------------------:|:-----:| |
| | | 0.0397 | 0.7274 | 0 | |
| | | 0.0352 | 0.6392 | 1 | |
| | | 0.0339 | 0.6142 | 2 | |
| | | 0.0330 | 0.5989 | 3 | |
| | | 0.0324 | 0.5882 | 4 | |
| | | 0.0319 | 0.5799 | 5 | |
| | | 0.0315 | 0.5730 | 6 | |
| | | 0.0312 | 0.5672 | 7 | |
| | | 0.0309 | 0.5623 | 8 | |
| | | 0.0306 | 0.5578 | 9 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.1 |
| | - TensorFlow 2.9.1 |
| | - Datasets 2.3.2 |
| | - Tokenizers 0.12.1 |
| |
|
