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mobilebert_mrpc – AI Model by Alireza1044 | AlphaNeural AI

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Alireza1044/
mobilebert_mrpc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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mrpc

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.3672
Accuracy: 0.8382
F1: 0.8889
Combined Score: 0.8636

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Framework versions

Transformers 4.20.0.dev0
Pytorch 1.11.0
Datasets 2.2.2
Tokenizers 0.12.1