cancerfarore/roberta-base-CancerFarore-Model

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

• Train Loss: 0.5226
• Train End Logits Accuracy: 0.8429
• Train Start Logits Accuracy: 0.8179
• Validation Loss: 0.8662
• Validation End Logits Accuracy: 0.7675
• Validation Start Logits Accuracy: 0.7540
• Epoch: 2

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 32952, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
1.0834	0.6813	0.6618	0.8721	0.7369	0.7251	0
0.7019	0.7919	0.7665	0.8038	0.7645	0.7510	1
0.5226	0.8429	0.8179	0.8662	0.7675	0.7540	2

Framework versions

• Transformers 4.40.1
• TensorFlow 2.15.0
• Datasets 2.19.0
• Tokenizers 0.19.1