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bge_reranker – AI Model by wl-tookitaki | AlphaNeural AI

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wl-tookitaki/
bge_reranker

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text-classification

generated_from_trainer

BAAI/bge-reranker-v2-m3

autotrain_compatible

endpoints_compatible

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bge_reranker

This model is a fine-tuned version of BAAI/bge-reranker-v2-m3 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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1