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distilbert-spamEmail – AI Model by tony4194 | AlphaNeural AI
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tony4194
/
distilbert-spamEmail
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
tony4194/ditilbert-spamEmail
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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distilbert-spamEmail
This model is a second fine-tuned version of
tony4194/ditilbert-spamEmail
on an
SetFit/enron_spam
dataset. It achieves the following results on the evaluation set:
Loss: 0.0621
Accuracy: 0.9925
Model description
To detect spam messages.
Intended uses & limitations
Maximum paragraph or chunk_text is 512.
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0083
1.0
1983
0.0569
0.9915
0.0012
2.0
3966
0.0620
0.993
0.0003
3.0
5949
0.0621
0.9925
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
