my-awesome-bert-model-sentiment-analysis

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: 0.0733
• Train Accuracy: 0.9697
• Validation Loss: 0.1888
• Validation Accuracy: 0.9443
• Epoch: 4

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': 1e-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
0.6042	0.7451	0.3504	0.8689	0
0.2387	0.9104	0.2092	0.9253	1
0.1230	0.9524	0.2296	0.9288	2
0.0892	0.9633	0.2171	0.9347	3
0.0733	0.9697	0.1888	0.9443	4

Framework versions

• Transformers 4.35.0
• TensorFlow 2.14.0
• Tokenizers 0.14.1