README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - snli
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-contradiction
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: snli
          type: snli
          args: plain_text
        metrics:
          - name: Rouge1
            type: rouge
            value: 34.2745

t5-small-finetuned-contradiction

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

• Loss: 2.1770
• Rouge1: 34.2745
• Rouge2: 14.6382
• Rougel: 32.5159
• Rougelsum: 32.519

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.2392	1.0	2863	2.1770	34.3717	14.682	32.6218	32.6239

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu102
• Datasets 2.1.0
• Tokenizers 0.12.1