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End of training
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metadata
license: apache-2.0
base_model: t5-large
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: t5-large_qnli_dense_epochs-1
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          config: qnli
          split: train[:64]
          args: qnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5384615384615384

t5-large_qnli_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: 0.7227
  • Accuracy: 0.5385

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