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bert-base-finetuned-sts – AI Model by Ezre | AlphaNeural AI

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Ezre/
bert-base-finetuned-sts

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-finetuned-sts

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

eval_loss: 0.4835
eval_pearsonr: 0.8970
eval_runtime: 3.7199
eval_samples_per_second: 139.521
eval_steps_per_second: 4.57
epoch: 5.0
step: 1825

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1