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bert-base-finetuned-sts – AI Model by leezy-31 | AlphaNeural AI
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bert-base-finetuned-sts
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transformers
safetensors
bert
text-classification
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
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 an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4525
Pearsonr: 0.8934
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: 384
eval_batch_size: 384
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
31
0.5396
0.8764
No log
2.0
62
0.5118
0.8854
No log
3.0
93
0.4525
0.8934
No log
4.0
124
0.5232
0.8902
No log
5.0
155
0.5057
0.8919
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.1
