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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - eli5
metrics:
  - rouge
model-index:
  - name: t5-base-finetuned-eli5
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: eli5
          type: eli5
          config: LFQA_reddit
          split: train_eli5
          args: LFQA_reddit
        metrics:
          - name: Rouge1
            type: rouge
            value: 0

t5-base-finetuned-eli5

This model is a fine-tuned version of t5-base on the eli5 dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 0.0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 1.0 17040 nan 0.0 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.0
  • Tokenizers 0.12.1