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roberta-large-finetuned-race

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5249
  • Accuracy: 0.3094
  • F1: 0.3011
  • Precision: 0.3292
  • Recall: 0.3011

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: 28
  • eval_batch_size: 28
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
1.5519 1.1310 1200 1.5674 0.2998 0.2964 0.3018 0.2954
1.5254 2.2620 2400 1.5249 0.3094 0.3011 0.3292 0.3011

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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