amritpuhan/fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arcchallenge

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arcchallenge

This model is a fine-tuned version of MoritzLaurer/deberta-v3-large-zeroshot-v2.0 on ARC-Challenge dataset. It achieves the following results on the evaluation set:

• —Loss: 1.6476
• —Accuracy: 0.6087

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: 1.5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1