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ton_iot_attempt – AI Model by Jios | AlphaNeural AI
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ton_iot_attempt
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ton_iot_attempt
This model is a fine-tuned version of
roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0380
label_mapping = { 'normal': 0, 'ddos': 1, 'injection': 2, 'password': 3, 'scanning': 4 }
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.4891
1.0
938
0.1066
0.1219
2.0
1876
0.0861
0.0529
3.0
2814
0.0676
0.0249
4.0
3752
0.0497
0.0159
5.0
4690
0.0380
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
