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scan-u-doc_bool-question – AI Model by roaltopo | AlphaNeural AI
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scan-u-doc_bool-question
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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yn_question
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1021
Accuracy: 0.9630
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0962
1.0
3692
0.1003
0.9642
0.0878
2.0
7384
0.1021
0.9630
Framework versions
Transformers 4.34.0
Pytorch 1.13.0a0+git6c9b55e
Datasets 2.14.5
Tokenizers 0.14.1
