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bert-base-uncased-with-mrpc-trained – AI Model by iotengtr | AlphaNeural AI
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iotengtr
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bert-base-uncased-with-mrpc-trained
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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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bert-base-uncased-with-mrpc-trained
This model is a fine-tuned version of
bert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6346
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: 5e-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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
459
0.3987
0.5157
2.0
918
0.4586
0.3096
3.0
1377
0.6346
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
