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TON_IoT_no_scanning

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metadata
library_name: transformers
license: mit
base_model: roberta-large
tags:
  - generated_from_trainer
model-index:
  - name: TON_IoT_no_scanning
    results: []

TON_IoT_no_scanning

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000

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
0.0798 1.0 750 0.0100
0.0165 2.0 1500 0.0072
0.0148 3.0 2250 0.0000
0.0 4.0 3000 0.0000
0.0 5.0 3750 0.0000

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1