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fine-url-classifier – AI Model by PDAP | AlphaNeural AI
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PDAP
/
fine-url-classifier
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tensorboard
safetensors
distilbert
generated_from_trainer
text-classification
PDAP/fine-labeled-urls-headers
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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fine-url-classifier
This model is a fine-tuned version of
distilbert-base-uncased
on the dataset
PDAP/fine-labeled-urls-headers
.. It achieves the following results on the evaluation set:
Loss: 1.7291
Accuracy: 0.5702
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
375
2.2771
0.4146
2.6525
2.0
750
1.9316
0.5441
1.9453
3.0
1125
1.7770
0.5565
1.6729
4.0
1500
1.7291
0.5702
Framework versions
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.0
