README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: cos801-802-hf-workshop-mt5-small
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          config: swahili
          split: train
          args: swahili
        metrics:
          - name: Rouge1
            type: rouge
            value: 20.928

cos801-802-hf-workshop-mt5-small

This model is a fine-tuned version of google/mt5-small on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.7998
• Rouge1: 20.928
• Rouge2: 6.3239
• Rougel: 17.4455
• Rougelsum: 17.4566

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: 4
• eval_batch_size: 4
• 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
3.844	1.0	1975	2.7998	20.928	6.3239	17.4455	17.4566

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1