Aadithyak/deberta-final

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deberta-final

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

• —eval_loss: 0.4335
• —eval_accuracy: 0.8762
• —eval_f1: 0.8762
• —eval_runtime: 1227.0064
• —evalsamplesper_second: 85.273
• —evalstepsper_second: 2.843
• —epoch: 2.6816
• —step: 26500

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: 30
• —evalbatchsize: 30
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 60
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 600
• —num_epochs: 7
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0
• —Datasets 3.0.0
• —Tokenizers 0.19.1