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finetuned-bert-mrpc – AI Model by izboy250 | AlphaNeural AI
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finetuned-bert-mrpc
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned-bert-mrpc
This model is a fine-tuned version of
bert-base-cased
on the glue 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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
