README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - eli5
metrics:
  - rouge
model-index:
  - name: t5-small-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: 9.944

t5-small-finetuned-eli5

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

• Loss: 3.7275
• Rouge1: 9.944
• Rouge2: 1.908
• Rougel: 8.0145
• Rougelsum: 9.2275
• Gen Len: 18.9988

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.9806	1.0	17040	3.7726	9.8475	1.872	7.9462	9.1258	18.9972
3.9458	2.0	34080	3.7369	9.9232	1.8981	7.9922	9.2061	18.9988
3.9355	3.0	51120	3.7275	9.944	1.908	8.0145	9.2275	18.9988

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1