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degreemotion-bert-finetuning-2 – AI Model by eunyounglee | AlphaNeural AI
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eunyounglee
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degreemotion-bert-finetuning-2
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transformers
pytorch
bert
text-classification
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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degreemotion-bert-finetuning-2
This model is a fine-tuned version of
klue/bert-base
on the None dataset.
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: 15
Training results
Framework versions
Transformers 4.32.1
Pytorch 2.2.0+cu121
Datasets 2.12.0
Tokenizers 0.13.2
