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finetune_insult_improved_v1

This model is a fine-tuned version of cross-encoder/ms-marco-electra-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8731
• Accuracy: 0.7022
• F1: 0.7291
• Precision: 0.6853
• Recall: 0.7788

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: 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: 10

Training results

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2