t5-large_cola_dense_epochs-1

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

  • Loss: 0.6445
  • Accuracy: 0.9231

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: 32
  • eval_batch_size: 64
  • seed: 1
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.14.1
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Dataset used to train thrunlab/t5-large_cola_dense_epochs-1

Evaluation results