|
--- |
|
base_model: harouzie/mbart-translation-en2vi |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
- sacrebleu |
|
model-index: |
|
- name: mbart-translation-en2vi |
|
results: [] |
|
license: mit |
|
datasets: |
|
- harouzie/vi_en-translation |
|
language: |
|
- en |
|
- vi |
|
library_name: transformers |
|
pipeline_tag: translation |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# mbart-translation-en2vi |
|
|
|
This model is a fine-tuned version of [harouzie/mbart-translation-en2vi](https://huggingface.co/harouzie/mbart-translation-en2vi) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2959 |
|
- Bleu: 75.2497 |
|
- Gen Len: 12.1475 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.3171 | 1.0 | 6352 | 0.2997 | 74.9862 | 12.135 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.13.3 |
