bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab_equal

This model is a fine-tuned version of Wiebke/bert-base-casedepoch3_sexist_baseline on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4692
• Accuracy: 0.865
• F1: 0.8655

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0428	0.31	500	0.5614	0.8393	0.8433
0.0377	0.61	1000	0.4765	0.8536	0.8558
0.0324	0.92	1500	0.4692	0.865	0.8655

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2