AshwinKM2005/github-duplicates-cross-encoder

<!-- 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. -->

github-duplicates-cross-encoder

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.

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: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —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: 1

Training results

Framework versions

• —Transformers 4.57.0
• —Pytorch 2.8.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.1