roberta_email_sms_spam_classifier – AI Model by coconutsc | AlphaNeural AI

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coconutsc/
roberta_email_sms_spam_classifier

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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output

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0654
F1: 0.9869
Accuracy: 0.9890
Precision: 0.9858
Recall: 0.9879

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy	Precision	Recall
0.0315	1.0	982	0.1012	0.9728	0.9774	0.9798	0.9659
0.0428	2.0	1964	0.0764	0.9804	0.9837	0.9835	0.9772
0.0391	3.0	2946	0.0654	0.9869	0.9890	0.9858	0.9879
0.0001	4.0	3928	0.0751	0.9879	0.9899	0.9893	0.9865
0.0001	5.0	4910	0.0776	0.9883	0.9902	0.9886	0.9879

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1