stance_class_mod

This model is a fine-tuned version of vinai/bertweet-base on the dataset of 644 labeled tweets. It achieves the following results on the evaluation set:

• Loss: 0.5008
• Accuracy: 0.8605

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:

• learning_rate: 5e-05
• train_batch_size: 30
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4898	1.0	13	0.4752	0.7752
0.4441	2.0	26	0.4355	0.7674
0.2363	3.0	39	0.5052	0.7984
0.2897	4.0	52	0.4911	0.7442
0.1451	5.0	65	0.3889	0.8295
0.0377	6.0	78	0.3988	0.8295
0.1236	7.0	91	0.4744	0.8605
0.1927	8.0	104	0.4761	0.8527
0.016	9.0	117	0.5158	0.8527
0.0145	10.0	130	0.5008	0.8605

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu117
• Datasets 2.12.0
• Tokenizers 0.13.2