Mithilss/bge-reranker-v2-m3-finetune-lower-lr-gskf

<!-- 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. -->

bge-reranker-v2-m3-finetune-lower-lr-gskf

This model is a fine-tuned version of BAAI/bge-reranker-v2-m3 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3791
• —Spearman: 0.5224

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.8.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.1