EthM300/compare3

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results

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

• —Loss: 0.9157
• —Accuracy: 0.8261

Model description

Text binary classification model for classifying the difficulty of quizbowl clues with regard to difficulty 3 (0 - lower, 1 - higher).

Intended uses & limitations

This is part of bigger multiclass classification model intended to classify quizbowl clues based on their difficulties.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 10
• —evalbatchsize: 10
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.50.3
• —Pytorch 2.6.0
• —Datasets 3.5.0
• —Tokenizers 0.21.1