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roberta-large-finetuned-cosmos

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

  • Loss: 1.3863
  • Accuracy: 0.2533

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • 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
1.39 1.0 12631 1.3863 0.2586
1.3956 2.0 25262 1.3863 0.2563
1.3902 3.0 37893 1.3863 0.2533

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.1+cu121
  • Datasets 2.12.0
  • Tokenizers 0.13.2
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Dataset used to train Benlitzen43/roberta-large-finetuned-cosmos