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glue-mrpc – AI Model by sgugger | AlphaNeural AI

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sgugger/
glue-mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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glue-mrpc

This model is a fine-tuned version of bert-base-cased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.6566
Accuracy: 0.8554
F1: 0.8974
Combined Score: 0.8764

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: 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

Training results

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0+cu102
Datasets 1.15.2.dev0
Tokenizers 0.10.3