xinyixiuxiu/albert-base-v2-SST2-incremental_pre_training

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1124
• Train Accuracy: 0.9606
• Validation Loss: 0.2290
• Validation Accuracy: 0.9106
• 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', 'learning_rate': 1e-05, 'decay': 0.0, '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
0.2793	0.8841	0.2209	0.9197	0
0.1514	0.9449	0.2252	0.9094	1
0.1124	0.9606	0.2290	0.9106	2

Framework versions

• Transformers 4.28.1
• TensorFlow 2.7.0
• Datasets 2.10.1
• Tokenizers 0.12.1