transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer dataset:cwchang/tw_address_large base_model:google/mt5-small base_model:finetune:google/mt5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: google/mt5-small
datasets:
- cwchang/tw_address_large
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: formatted_addr
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: cwchang/tw_address_large
      type: cwchang/tw_address_large
    metrics:
    - type: rouge
      value: 96.9865
      name: Rouge1
---

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# formatted_addr

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the cwchang/tw_address_large dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1493
- Rouge1: 96.9865
- Rouge2: 48.0164
- Rougel: 96.9783
- Rougelsum: 96.9638
- Gen Len: 13.6825

## 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: 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: 3.0

### Training results



### Framework versions

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