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klue-bert-finetuned-nsmc – AI Model by PlayDev | AlphaNeural AI

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PlayDev/
klue-bert-finetuned-nsmc

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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klue-bert-finetuned-nsmc

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

eval_loss: 0.2402
eval_accuracy: 0.9029
eval_f1: 0.9029
eval_runtime: 343.6707
eval_samples_per_second: 145.488
eval_steps_per_second: 4.548
epoch: 1.0
step: 4688

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: 2

Framework versions

Transformers 4.13.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.10.3