transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: sinMT5-tuned
  results: []
---

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# sinMT5-tuned

This model is a fine-tuned version of [google/mT5](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8573
- Rouge1: 20.2531
- Rouge2: 8.1307
- Rougel: 19.3917
- Rougelsum: 20.0592

## 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: 0.00015652249866150822
- 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 1.8651        | 1.0   | 1500  | 1.8070          | 17.676  | 7.1418 | 16.8638 | 17.457    |
| 1.5527        | 2.0   | 3000  | 1.7804          | 21.1357 | 8.1386 | 20.122  | 20.8652   |
| 1.3755        | 3.0   | 4500  | 1.7769          | 21.4151 | 8.5692 | 20.3204 | 21.1152   |
| 1.2473        | 4.0   | 6000  | 1.7937          | 21.2434 | 8.2325 | 20.1332 | 21.0657   |
| 1.1548        | 5.0   | 7500  | 1.8035          | 20.4298 | 8.2314 | 19.5909 | 20.2116   |
| 1.0835        | 6.0   | 9000  | 1.8367          | 20.5427 | 8.2226 | 19.6134 | 20.2918   |
| 1.0387        | 7.0   | 10500 | 1.8573          | 20.2531 | 8.1307 | 19.3917 | 20.0592   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3
