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---
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: 97.0
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# formatted_address
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: 0.1388
- 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
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