---
tags:
- generated_from_keras_callback
model-index:
- name: assamim/mt5-pukulenam-summarization
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# assamim/mt5-pukulenam-summarization

This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7639
- Validation Loss: 1.8188
- Train Rouge1: 36.5639
- Train Rouge2: 17.0888
- Train Rougel: 31.0462
- Train Rougelsum: 31.1825
- Train Gen Len: 30.735
- Epoch: 0

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.7639     | 1.8188          | 36.5639      | 17.0888      | 31.0462      | 31.1825         | 30.735        | 0     |


### Framework versions

- Transformers 4.19.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1