Labib11/PMC_bge

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PMC_bge

This model is a fine-tuned version of BAAI/bge-large-en-v1.5 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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 512
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 20.0

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1