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model_mBErt_LT_FROZEN_desc_model_EN_cls_22.02.2026 – AI Model by NastasiaM | AlphaNeural AI
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NastasiaM
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model_mBErt_LT_FROZEN_desc_model_EN_cls_22.02.2026
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transformers
safetensors
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
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model_mBErt_LT_FROZEN_desc_model_EN_cls_22.02.2026
This model is a fine-tuned version of
bert-base-multilingual-cased
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
