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bert-base-uncased-finetuning – AI Model by yz123127054 | AlphaNeural AI
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bert-base-uncased-finetuning
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pytorch
tensorboard
bert
generated_from_trainer
en
glue
apache-2.0
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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: 0.4226
Accuracy: 0.8186
F1: 0.8763
Combined Score: 0.8474
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 4.16.2
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.11.6
