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s_em_mlm_bert – AI Model by gokulsrinivasagan | AlphaNeural AI

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gokulsrinivasagan/
s_em_mlm_bert

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generated_from_trainer

google-bert/bert-base-uncased

endpoints_compatible

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s_em_mlm_bert

This model is a fine-tuned version of google-bert/bert-base-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: 0.0001
train_batch_size: 160
eval_batch_size: 160
seed: 10
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 25

Training results

Framework versions

Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3