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t5_base_race_cosmos_qa

This model is a fine-tuned version of t5-base on the race dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4414
  • Accuracy: 0.7424

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4355 1.0 10984 0.3910 0.7072
0.3233 2.0 21968 0.3833 0.7321
0.229 3.0 32952 0.4414 0.7424

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Dataset used to train mamlong34/t5_base_race_cosmos_qa