README.md

metadata

license: apache-2.0
base_model: t5-base
tags:
  - simplification
  - generated_from_trainer
datasets:
  - mctest
metrics:
  - bleu
model-index:
  - name: question-story
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: mctest
          type: mctest
          config: mc500
          split: test
          args: mc500
        metrics:
          - name: Bleu
            type: bleu
            value: 0.0302

question-story

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

• Loss: 2.7501
• Bleu: 0.0302
• Gen Len: 19.0

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	150	2.7772	0.0276	19.0
No log	2.0	300	2.7501	0.0302	19.0

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1