my-Health_stress_condtion-model

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: 0.1766
• Train Accuracy: 0.9278
• Validation Loss: 0.2341
• Validation Accuracy: 0.9069
• 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': np.float32(3e-05), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3133	0.8798	0.2492	0.8983	0
0.2138	0.9134	0.2328	0.9075	1
0.1766	0.9278	0.2341	0.9069	2

Framework versions

• Transformers 4.44.2
• TensorFlow 2.19.0
• Datasets 4.0.0
• Tokenizers 0.19.1