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roberta-base-spam-detector – AI Model by 0x7o | AlphaNeural AI
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0x7o
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roberta-base-spam-detector
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transformers
pytorch
roberta
text-classification
en
0x7194633/spam_detector
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-spam-detector
This model is a fine-tuned version of
roberta-base
on the
0x7194633/spam_detector
dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0211
eval_accuracy: 0.9979
eval_f1: 0.9980
eval_precision: 0.9960
eval_recall: 1.0
eval_runtime: 30.7625
eval_samples_per_second: 30.882
eval_steps_per_second: 1.95
epoch: 1.16
step: 1446
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 8
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: 500
num_epochs: 3
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
