hfl-rbt6-ChnSentiCorp-sentiment-classifier

This model is a fine-tuned version of hfl/rbt6 on the seamew/ChnSentiCorp dataset. It achieves the following results on the evaluation set:

• Loss: 0.294600
• Accuracy: 0.933884

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• weight_decay=1e-2
• num_epochs: 3

Training results

Epoch	Training Loss	Validation Loss	Accuracy	F1	Precision	Recall
1	0.359700	0.306089	0.924242	0.926230	0.918699	0.933884
2	0.200600	0.295512	0.942761	0.943615	0.946755	0.940496
3	0.105600	0.294600	0.933884	0.942452	0.951178	0.933884

Framework versions

• Pytorch 2.0.0
• Python 3.9.12