cic2019_no_udp_lag / README.md
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metadata
library_name: transformers
license: mit
base_model: roberta-large
tags:
  - generated_from_trainer
model-index:
  - name: cic2019_no_udp_lag
    results: []

cic2019_no_udp_lag

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

  • Loss: 0.1961

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: Use 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: 5

Training results

Training Loss Epoch Step Validation Loss
0.2251 1.0 1250 0.1962
0.2055 2.0 2500 0.1886
0.2117 3.0 3750 0.1955
0.2237 4.0 5000 0.1787
0.1802 5.0 6250 0.1961

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1