ajrayman/Anger_binary

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Anger_binary

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7276
• —Accuracy: 0.6438
• —Precision: 0.6237
• —Recall: 0.7232
• —F1: 0.6697
• —Auc: 0.7104

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 1234
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.06
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.44.1
• —Pytorch 1.11.0
• —Datasets 2.12.0
• —Tokenizers 0.19.1