tw-sentiment-finetuned

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

• Train Loss: 0.2039
• Train Accuracy: 0.9171
• Validation Loss: 0.4805
• Validation Accuracy: 0.8237
• 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': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4620	0.7977	0.3893	0.8332	0
0.3238	0.8596	0.4674	0.8362	1
0.2039	0.9171	0.4805	0.8237	2

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Tokenizers 0.13.2