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BERT_Snli – AI Model by CaoTrungHieu | AlphaNeural AI
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BERT_Snli
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transformers
pytorch
bert
feature-extraction
generated_from_trainer
text-embeddings-inference
endpoints_compatible
us
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BERT_Snli
This model was trained from scratch on an unknown 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1