transformers tensorboard safetensors mbart text2text-generation generated_from_trainer base_model:vinai/bartpho-syllable-base base_model:finetune:vinai/bartpho-syllable-base autotrain_compatible endpoints_compatible region:us
---
base_model: vinai/bartpho-syllable-base
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: apply_back_translation_model_v3
  results: []
---

<!-- 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. -->

# apply_back_translation_model_v3

This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7866
- Bleu: 9.5112
- Gen Len: 18.0821

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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.958         | 1.0   | 15095 | 1.7866          | 9.5112 | 18.0821 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
