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everyl12/
stance_class_mod

Name: stance_class_mod
Rating: 2.5 (5 reviews)

generated_from_trainer

autotrain_compatible

endpoints_compatible

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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

everyl12/stance_class_mod

stance_class_mod

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

everyl12/
stance_class_mod