pytorch tensorboard mt5 text2text-generation transformers summarization generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-zh_TW
  results: []
---

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# mt5-small-finetuned-amazon-en-zh_TW

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2408
- Rouge1: 15.8831
- Rouge2: 7.1676
- Rougel: 15.5523
- Rougelsum: 15.4954

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.5388        | 1.0   | 838  | 3.5888          | 12.6081 | 5.3611 | 12.3495 | 12.2926   |
| 4.0043        | 2.0   | 1676 | 3.4038          | 13.8517 | 6.3417 | 13.4755 | 13.4913   |
| 3.6776        | 3.0   | 2514 | 3.3294          | 15.1519 | 7.3842 | 14.8844 | 14.8458   |
| 3.4929        | 4.0   | 3352 | 3.2668          | 15.6067 | 7.4016 | 15.3715 | 15.2908   |
| 3.387         | 5.0   | 4190 | 3.2855          | 15.0546 | 7.3065 | 14.8271 | 14.7755   |
| 3.302         | 6.0   | 5028 | 3.2457          | 15.0213 | 6.6597 | 14.6131 | 14.5641   |
| 3.2806        | 7.0   | 5866 | 3.2408          | 15.8831 | 7.1676 | 15.5523 | 15.4954   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
