runningsnake/bert-base-sequence-classification

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

• Train Loss: 0.0825
• Train Accuracy: 0.9766
• Validation Loss: 0.5064
• Validation Accuracy: 0.8431
• Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

How to use

More information needed

Limitations and bias

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': 5e-05, 'decay_steps': 1377, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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
0.2559	0.9057	0.5082	0.8211	0
0.1004	0.9673	0.5064	0.8431	1
0.0825	0.9766	0.5064	0.8431	2

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.14.0
• Tokenizers 0.13.3

Evaluation results

More information needed