stereotype_finetuned_3_class

This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1384
• Accuracy: 0.9862

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1373	1.0	516	0.0668	0.9836
0.0422	2.0	1032	0.0883	0.984
0.0205	3.0	1548	0.0870	0.9847
0.013	4.0	2064	0.0902	0.9851
0.0119	5.0	2580	0.0944	0.9862
0.005	6.0	3096	0.1035	0.9858
0.0071	7.0	3612	0.1077	0.9858
0.002	8.0	4128	0.1056	0.9844
0.0046	9.0	4644	0.0999	0.9855
0.0018	10.0	5160	0.1238	0.9858
0.0003	11.0	5676	0.1326	0.9847
0.0002	12.0	6192	0.1341	0.9858
0.0015	13.0	6708	0.1338	0.9858
0.0	14.0	7224	0.1438	0.9862
0.0	15.0	7740	0.1384	0.9862

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1