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BertFinetuning – AI Model by zhaoyang | AlphaNeural AI
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BertFinetuning
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transformers
pytorch
tensorboard
generated_from_trainer
en
glue
apache-2.0
model-index
endpoints_compatible
us
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bert_finetunning
This model is a fine-tuned version of
bert-base-uncased
on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
Loss: 0.4018
Accuracy: 0.8260
F1: 0.8786
Combined Score: 0.8523
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
Transformers 4.13.0.dev0
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.10.3
