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MARBERT_full – AI Model by MM2157 | AlphaNeural AI
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MM2157
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MARBERT_full
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transformers
safetensors
bert
text-classification
generated_from_trainer
UBC-NLP/MARBERT
finetune
endpoints_compatible
us
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MARBERT_full
This model is a fine-tuned version of
UBC-NLP/MARBERT
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
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: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
