| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: chatGPT_classifier |
| 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. --> |
|
|
| # chatGPT_classifier |
| |
| This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0721 |
| - Train Accuracy: 0.9805 |
| - Validation Loss: 0.2447 |
| - Validation Accuracy: 0.9114 |
| - 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1929, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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 | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 0.4382 | 0.7957 | 0.3053 | 0.8745 | 0 | |
| | 0.2381 | 0.9120 | 0.2671 | 0.8967 | 1 | |
| | 0.1154 | 0.9617 | 0.2447 | 0.9114 | 2 | |
| | 0.0701 | 0.9817 | 0.2447 | 0.9114 | 3 | |
| | 0.0723 | 0.9796 | 0.2447 | 0.9114 | 4 | |
| | 0.0730 | 0.9802 | 0.2447 | 0.9114 | 5 | |
| | 0.0706 | 0.9813 | 0.2447 | 0.9114 | 6 | |
| | 0.0711 | 0.9811 | 0.2447 | 0.9114 | 7 | |
| | 0.0697 | 0.9817 | 0.2447 | 0.9114 | 8 | |
| | 0.0721 | 0.9805 | 0.2447 | 0.9114 | 9 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0 |
| - TensorFlow 2.9.2 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
| |
