| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: pull_request_comments_model |
| | 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. --> |
| |
|
| | # pull_request_comments_model |
| | |
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0791 |
| | - Train Accuracy: 0.9955 |
| | - Validation Loss: 0.5019 |
| | - Validation Accuracy: 0.8291 |
| | - Epoch: 12 |
| | |
| | ## 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': 2e-05, 'decay_steps': 280, '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-08, 'amsgrad': False} |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | | 1.3102 | 0.4308 | 1.1851 | 0.4701 | 0 | |
| | | 1.1436 | 0.4978 | 0.9891 | 0.6068 | 1 | |
| | | 0.9590 | 0.6183 | 0.8287 | 0.6838 | 2 | |
| | | 0.7801 | 0.6942 | 0.6916 | 0.7692 | 3 | |
| | | 0.6074 | 0.7946 | 0.6212 | 0.8120 | 4 | |
| | | 0.4755 | 0.8817 | 0.5471 | 0.8205 | 5 | |
| | | 0.3503 | 0.9241 | 0.5244 | 0.8376 | 6 | |
| | | 0.2594 | 0.9665 | 0.5171 | 0.8120 | 7 | |
| | | 0.1711 | 0.9844 | 0.4832 | 0.8291 | 8 | |
| | | 0.1474 | 0.9911 | 0.5000 | 0.8205 | 9 | |
| | | 0.1082 | 0.9955 | 0.4875 | 0.8291 | 10 | |
| | | 0.0981 | 0.9933 | 0.4928 | 0.8291 | 11 | |
| | | 0.0791 | 0.9955 | 0.5019 | 0.8291 | 12 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - TensorFlow 2.9.0 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
| | |
