AshwinKM2005/github-duplicates-cross-encoder

1---2library_name: transformers3license: mit4base_model: microsoft/deberta-v3-base5tags:6- generated_from_trainer7model-index:8- name: github-duplicates-cross-encoder9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# github-duplicates-cross-encoder16 17This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.18 19## Model description20 21More information needed22 23## Intended uses & limitations24 25More information needed26 27## Training and evaluation data28 29More information needed30 31## Training procedure32 33### Training hyperparameters34 35The following hyperparameters were used during training:36- learning_rate: 2e-0537- train_batch_size: 838- eval_batch_size: 839- seed: 4240- distributed_type: multi-GPU41- num_devices: 242- total_train_batch_size: 1643- total_eval_batch_size: 1644- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments45- lr_scheduler_type: linear46- num_epochs: 147 48### Training results49 50 51 52### Framework versions53 54- Transformers 4.57.055- Pytorch 2.8.0+cu12856- Datasets 3.6.057- Tokenizers 0.22.158