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TreyJ/
distilbert-base-uncased-distilled-squad-finetuned-squad2-32

Name: distilbert-base-uncased-distilled-squad-finetuned-squad2-32
Availability: InStock

generated_from_keras_callback

apache-2.0

endpoints_compatible

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TreyJ/distilbert-base-uncased-distilled-squad-finetuned-squad2-32

This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.7270
Train End Logits Accuracy: 0.7939
Train Start Logits Accuracy: 0.7512
Validation Loss: 1.0789
Validation End Logits Accuracy: 0.7190
Validation Start Logits Accuracy: 0.6793
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': 5531, '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 Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
0.7270	0.7939	0.7512	1.0789	0.7190	0.6793	0

Framework versions

Transformers 4.29.0.dev0
TensorFlow 2.8.4
Datasets 2.11.0
Tokenizers 0.13.3