Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection

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MiniLMv2-L12-H384-distilled-finetuned-spam-detection

This model is a fine-tuned version of nreimers/MiniLMv2-L12-H384-distilled-from-RoBERTa-Large on the sms_spam dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0938
• —Accuracy: 0.9928

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 33
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.2+cu113
• —Datasets 1.18.4
• —Tokenizers 0.12.1