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PhishAlertAI-model – AI Model by 1Jacob22 | AlphaNeural AI
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1Jacob22
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PhishAlertAI-model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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PhishAlertAI-model
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0909
Accuracy: 0.978
F1: 0.9773
Precision: 0.9816
Recall: 0.9741
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
