Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
phi-finetuned-spam – AI Model by ana-grassmann | AlphaNeural AI
You can deploy this model and start earning money today!
ana-grassmann
/
phi-finetuned-spam
like
0
peft
tensorboard
safetensors
generated_from_trainer
microsoft/phi-2
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
phi-finetuned-spam
This model is a fine-tuned version of
microsoft/phi-2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0822
Accuracy: 0.989
F1: 0.9890
Precision: 0.9880
Recall: 0.99
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: 3.628060796399553e-05
train_batch_size: 8
eval_batch_size: 2
seed: 31
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
F1
Precision
Recall
0.1312
1.0
1125
0.1122
0.974
0.9735
0.9917
0.956
0.0224
2.0
2250
0.0822
0.989
0.9890
0.9880
0.99
0.0654
3.0
3375
0.0806
0.988
0.988
0.988
0.988
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
