ia-detection-deberta-v3-small

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ia-detection-deberta-v3-small

This model is a fine-tuned version of microsoft/deberta-v3-small on the autextification2023 dataset. It achieves the following results on the evaluation set:

• Loss: 2.0506
• Accuracy: 0.6245
• F1: 0.7308
• Precision: 0.5777
• Recall: 0.9944

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.13.3