philschmid/deberta-v3-xsmall-emotion

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deberta-v3-xsmall-emotion

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

• —Loss: 0.1877
• —Accuracy: 0.932

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.12.3
• —Pytorch 1.9.1
• —Datasets 1.15.1
• —Tokenizers 0.10.3