racism-finetuned-detests-wandb

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

• Loss: 0.4148
• Accuracy: 0.8265
• F1-score: 0.7569
• Precision: 0.7532
• Recall: 0.7608
• Auc: 0.7608

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
0.3742	1.0	44	0.3319	0.8412	0.7461	0.7899	0.7221	0.7221
0.092	2.0	88	0.4148	0.8265	0.7569	0.7532	0.7608	0.7608

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0