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distilbert-base-uncased-finetuned-scam-classification – AI Model by jaranohaal | AlphaNeural AI
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jaranohaal
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distilbert-base-uncased-finetuned-scam-classification
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-scam-classification
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4129
Accuracy: 0.9625
F1: 0.9625
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: 1e-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5637
1.0
40
0.4129
0.9625
0.9625
Framework versions
Transformers 4.28.1
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.3
