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bert-base-finetuned-sts – AI Model by wisejiyoon | AlphaNeural AI
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bert-base-finetuned-sts
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transformers
pytorch
bert
text-classification
generated_from_trainer
klue
model-index
autotrain_compatible
endpoints_compatible
us
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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:
Loss: 0.4582
Pearsonr: 0.9000
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearsonr
No log
1.0
183
0.5329
0.8827
No log
2.0
366
0.4549
0.8937
0.2316
3.0
549
0.4656
0.8959
0.2316
4.0
732
0.4651
0.8990
0.2316
5.0
915
0.4582
0.9000
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
