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: 0.4068
- Validation Loss: 0.5871
- Train Accuracy: 0.8205
- 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': 2e-05, 'decay_steps': 140, '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 | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 1.2952 | 1.1288 | 0.4957 | 0 |
| 1.1276 | 0.9616 | 0.6581 | 1 |
| 0.9647 | 0.8319 | 0.6838 | 2 |
| 0.8187 | 0.7676 | 0.7265 | 3 |
| 0.7088 | 0.7020 | 0.7436 | 4 |
| 0.6026 | 0.6590 | 0.7863 | 5 |
| 0.5296 | 0.6246 | 0.7949 | 6 |
| 0.4712 | 0.6000 | 0.8120 | 7 |
| 0.4359 | 0.5900 | 0.8291 | 8 |
| 0.4068 | 0.5871 | 0.8205 | 9 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.9.0
- Datasets 2.10.1
- Tokenizers 0.13.2