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demotest – AI Model by junzai | AlphaNeural AI

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junzai/
demotest

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert_finetuning_test

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: 0.4023
Accuracy: 0.8284
F1: 0.8818
Combined Score: 0.8551

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 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.0
Tokenizers 0.11.0