README.md

metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
datasets:
  - cwchang/tw_address_large
metrics:
  - rouge
model-index:
  - name: formatted_address
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: cwchang/tw_address_large
          type: cwchang/tw_address_large
        metrics:
          - name: Rouge1
            type: rouge
            value: 97

formatted_address

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

• Loss: 0.1388
• Rouge1: 97.0
• Rouge2: 48.3471
• Rougel: 96.996
• Rougelsum: 96.9932
• Gen Len: 13.7152

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: 5e-05
• train_batch_size: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0