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metadata
license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: DistilRoBERTa_Thunderbird-Anomaly_Baseline
    results: []

DistilRoBERTa_Thunderbird-Anomaly_Baseline

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

  • Loss: 0.0031
  • Accuracy: 0.9999

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0958 1.0 1094 0.0623 0.9846
0.0514 2.0 2188 0.0340 0.9846
0.0261 3.0 3282 0.0168 0.9896
0.0147 4.0 4376 0.0095 1.0
0.01 5.0 5470 0.0061 1.0
0.0071 6.0 6564 0.0042 1.0
0.0058 7.0 7658 0.0031 1.0
0.0046 8.0 8752 0.0025 1.0
0.0043 9.0 9846 0.0022 1.0
0.0038 10.0 10940 0.0021 1.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3