metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: pull_request_comments_model
results: []
pull_request_comments_model
This model is a fine-tuned version of 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