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Zh-Mulitlingual-MiniLM – AI Model by subhasisj | AlphaNeural AI

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subhasisj/
Zh-Mulitlingual-MiniLM

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Zh-Mulitlingual-MiniLM

This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 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: 5e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Tokenizers 0.12.1