---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
model-index:
- name: CK_T5
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: mt_eng_vietnamese
      type: mt_eng_vietnamese
      config: iwslt2015-vi-en
      split: test
      args: iwslt2015-vi-en
    metrics:
    - name: Bleu
      type: bleu
      value: 0.1851
---

<!-- 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. -->

# CK_T5

This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the mt_eng_vietnamese dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4489
- Bleu: 0.1851
- Gen Len: 18.751

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.6572        | 1.0   | 8333  | 1.5155          | 0.0992 | 18.7864 |
| 1.5895        | 2.0   | 16666 | 1.4489          | 0.1851 | 18.751  |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3