metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Rocketknight1/distilbert-base-uncased-finetuned-squad
results: []
Rocketknight1/distilbert-base-uncased-finetuned-squad
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: 1.4902
- Train End Logits Sparse Categorical Accuracy: 0.6126
- Train Start Logits Sparse Categorical Accuracy: 0.5751
- Validation Loss: 1.1502
- Validation End Logits Sparse Categorical Accuracy: 0.6844
- Validation Start Logits Sparse Categorical Accuracy: 0.6561
- Epoch: 0
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': 11064, '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 End Logits Sparse Categorical Accuracy | Train Start Logits Sparse Categorical Accuracy | Validation Loss | Validation End Logits Sparse Categorical Accuracy | Validation Start Logits Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 1.4902 | 0.6126 | 0.5751 | 1.1502 | 0.6844 | 0.6561 | 0 |
Framework versions
- Transformers 4.19.0.dev0
- TensorFlow 2.8.0-rc0
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0