ShayBay/fallacy-model

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fallacy-model

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

• —eval_loss: nan
• —eval_accuracy: 0.0795
• —eval_runtime: 42.9842
• —evalsamplesper_second: 322.397
• —evalstepsper_second: 10.097
• —epoch: 0.0263
• —step: 91

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: linear
• —num_epochs: 3

Framework versions

• —Transformers 5.12.0
• —Pytorch 2.11.0+cu128
• —Datasets 5.0.0
• —Tokenizers 0.22.2