roberta-base-finetuned-squad – AI Model by jikkyjohn | AlphaNeural AI

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jikkyjohn/
roberta-base-finetuned-squad

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jikkyjohn/roberta-base-finetuned-squad

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

Train Loss: 0.6641
Train End Logits Accuracy: 0.8101
Train Start Logits Accuracy: 0.7677
Validation Loss: 0.8159
Validation End Logits Accuracy: 0.7731
Validation Start Logits Accuracy: 0.7410
Epoch: 1

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 22142, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
1.0348	0.7257	0.6841	0.8335	0.7701	0.7375	0
0.6641	0.8101	0.7677	0.8159	0.7731	0.7410	1

Framework versions

Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3