xinyixiuxiu/albert-xxlarge-v2-SST2-finetuned-try

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

• Train Loss: 0.3689
• Train Accuracy: 0.8560
• Validation Loss: 0.3286
• Validation Accuracy: 0.8899
• 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
0.6923	0.5660	0.6693	0.5814	0
0.6081	0.6550	0.5309	0.7431	1
0.3689	0.8560	0.3286	0.8899	2

Framework versions

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