Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
spam_detector_results – AI Model by akhilapm | AlphaNeural AI
You can deploy this model and start earning money today!
akhilapm
/
spam_detector_results
like
0
transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
spam_detector_results
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: 0.6800
Accuracy: 1.0
F1: 1.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7104
1.0
1
0.6821
0.5
0.0
0.6854
2.0
2
0.6813
0.5
0.0
0.6661
3.0
3
0.6804
0.5
0.0
0.6539
4.0
4
0.6801
0.5
0.0
0.6587
5.0
5
0.6800
1.0
1.0
Framework versions
Transformers 5.14.1
Pytorch 2.11.0+cpu
Datasets 5.0.1
Tokenizers 0.22.2
