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t5_large_race_cosmos_qa

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

  • Loss: 0.4382
  • Accuracy: 0.8023

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • 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 Accuracy Validation Loss
0.3513 1.0 10983 0.7714 0.3165
0.2109 2.0 21966 0.7986 0.3329
0.0929 3.0 32949 0.4382 0.8023

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0
  • Datasets 1.14.0
  • Tokenizers 0.10.3
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Dataset used to train mamlong34/t5_large_race_cosmos_qa