README.md

metadata

license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
datasets:
  - super_glue
metrics:
  - accuracy
model-index:
  - name: t5-base_boolq_dense_epochs-1
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: super_glue
          type: super_glue
          config: boolq
          split: train[:64]
          args: boolq
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.6153846153846154

t5-base_boolq_dense_epochs-1

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

• Loss: 0.7620
• Accuracy: 0.6154

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: 0
• 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