README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - hotpot_qa
metrics:
  - rouge
model-index:
  - name: t5-qg-finetuned-hotpotqa
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: hotpot_qa
          type: hotpot_qa
          config: distractor
          split: train
          args: distractor
        metrics:
          - name: Rouge1
            type: rouge
            value: 44.4906

t5-qg-finetuned-hotpotqa

This model is a fine-tuned version of p208p2002/t5-squad-qg-hl on the hotpot_qa dataset. It achieves the following results on the evaluation set:

• Loss: 1.2046
• Rouge1: 44.4906
• Rouge2: 26.3193
• Rougel: 39.9929
• Rougelsum: 39.9879

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.379	1.0	1875	1.2998	43.0766	24.8898	38.4029	38.4874
1.2011	2.0	3750	1.2225	44.7538	26.1406	39.9817	39.9714
1.1027	3.0	5625	1.2046	44.4906	26.3193	39.9929	39.9879

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2