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my_awesome_reclor_model_test

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

  • Loss: 1.4745
  • Accuracy: 0.486

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: 16
  • eval_batch_size: 16
  • 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
No log 1.0 290 1.2555 0.422
1.2285 2.0 580 1.2556 0.48
1.2285 3.0 870 1.4745 0.486

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.0
  • Tokenizers 0.13.2
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Dataset used to train NAJIX/my_awesome_reclor_model_test