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mbert_finetuned_ner_hmb_e5 – AI Model by AmaanDhamaskar | AlphaNeural AI

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AmaanDhamaskar/
mbert_finetuned_ner_hmb_e5

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token-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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mbert_finetuned_ner_hmb_e5

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased 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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.19.1