MMQuan/deberta-v3-ielts-node-classifier-v3

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deberta-v3-ielts-node-classifier-v3

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

• —Loss: 1.3429
• —Accuracy: 0.5085
• —F1 Macro: 0.1685

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: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 6
• —labelsmoothingfactor: 0.05

Training results

Framework versions

• —Transformers 5.5.4
• —Pytorch 2.10.0+cu130
• —Datasets 3.0.0
• —Tokenizers 0.22.2