racism-finetuned-detests-wandb24

This model is a fine-tuned version of davidmasip/racism on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3916
• Accuracy: 0.8380
• F1-score: 0.7712
• Precision: 0.7692
• Recall: 0.7733
• Auc: 0.7733

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: 3e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Precision	Recall	Auc
0.357	1.0	39	0.3343	0.8576	0.7614	0.8374	0.7277	0.7277
0.1109	2.0	78	0.3916	0.8380	0.7712	0.7692	0.7733	0.7733

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1