formatted_addr
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: 0.1493
- 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
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for cwchang/formatted_addr
Base model
google/mt5-small