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roberta-large-finetuned-m_avoid_harm_seler

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

  • Loss: 0.4413
  • Accuracy: 0.92
  • F1: 0.9356

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.7289 1.0 51 0.6017 0.71 0.8017
0.6613 2.0 102 0.4646 0.785 0.8516
0.6402 3.0 153 0.4413 0.92 0.9356

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Tokenizers 0.19.1
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