stereotype_finetuned_1

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: 1.3184
• Accuracy: 0.856

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
0.4268	1.0	516	0.3511	0.8425
0.2819	2.0	1032	0.3534	0.8593
0.2304	3.0	1548	0.3743	0.8636
0.175	4.0	2064	0.4341	0.8531
0.1201	5.0	2580	0.6222	0.8505
0.0928	6.0	3096	0.7032	0.8447
0.059	7.0	3612	0.8496	0.848
0.0362	8.0	4128	0.9396	0.8484
0.0293	9.0	4644	1.0407	0.8465
0.0202	10.0	5160	1.0932	0.8524
0.0151	11.0	5676	1.1281	0.8531
0.0069	12.0	6192	1.1992	0.8585
0.0039	13.0	6708	1.3510	0.8502
0.0047	14.0	7224	1.3186	0.8545
0.0015	15.0	7740	1.3184	0.856

Framework versions

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