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distillbert-base-uncased-finetuned-clinc – AI Model by dawokim | AlphaNeural AI
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dawokim
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distillbert-base-uncased-finetuned-clinc
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
clinc_oos
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distillbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of
distilbert-base-uncased
on the clinc_oos 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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
