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bert_multi – AI Model by powervel | AlphaNeural AI

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powervel/
bert_multi

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-uncased

text-embeddings-inference

endpoints_compatible

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bert_multi

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on the None 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: 2e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.22.1