xinyixiuxiu/roberta-base-SST2-finetuned

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

• Train Loss: 0.1327
• Train Accuracy: 0.9540
• Validation Loss: 0.2849
• Validation Accuracy: 0.9186
• 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', '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': 3e-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
0.2621	0.8958	0.2807	0.9048	0
0.1651	0.9404	0.2448	0.9151	1
0.1327	0.9540	0.2849	0.9186	2

Framework versions

• Transformers 4.27.1
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2