adity12345/roberta-classifier_batch16_3dataset

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roberta-classifierbatch163dataset

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

• —eval_loss: 0.6920
• —eval_Accuracy: 0.525
• —eval_AUC: 0.498
• —eval_runtime: 78.0994
• —evalsamplesper_second: 37.004
• —evalstepsper_second: 2.318
• —epoch: 3.0
• —step: 2169

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 16
• —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: 10

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1