xinyixiuxiu/albert-xlarge-v2-SST2-finetuned

This model is a fine-tuned version of albert-xlarge-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0995
• Train Accuracy: 0.9666
• Validation Loss: 0.2012
• Validation Accuracy: 0.9381
• 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': 3e-06, '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
0.2577	0.8879	0.1899	0.9278	0
0.1339	0.9530	0.1549	0.9507	1
0.0995	0.9666	0.2012	0.9381	2

Framework versions

• Transformers 4.21.1
• TensorFlow 2.7.0
• Datasets 2.10.1
• Tokenizers 0.12.1