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bert-base-uncased-finetuned-cosmos

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

  • Loss: 3.1272
  • Accuracy: 0.5752

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: 4
  • eval_batch_size: 4
  • 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
1.0246 1.0 6316 1.0667 0.5715
0.632 2.0 12632 1.5163 0.5926
0.2341 3.0 18948 3.1272 0.5752

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.1+cu121
  • Datasets 2.12.0
  • Tokenizers 0.13.2
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Finetuned from

Dataset used to train Benlitzen43/bert-base-uncased-finetuned-cosmos