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

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

• Train Loss: 0.2727
• Train Accuracy: 0.8880
• Validation Loss: 0.4356
• Validation Accuracy: 0.8349
• Epoch: 3

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
0.6649	0.5880	0.5779	0.7534	0
0.4569	0.8060	0.3749	0.8658	1
0.3264	0.8730	0.3876	0.8429	2
0.2727	0.8880	0.4356	0.8349	3

Framework versions

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