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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
model-index:
- name: basso4_eng_to_vie_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: mt_eng_vietnamese
type: mt_eng_vietnamese
config: iwslt2015-en-vi
split: train
args: iwslt2015-en-vi
metrics:
- name: Bleu
type: bleu
value: 0.2843
---
<!-- 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. -->
# basso4_eng_to_vie_model
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: 1.4992
- Bleu: 0.2843
- Gen Len: 18.7733
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.7028 | 1.0 | 6666 | 1.5587 | 0.1992 | 18.7357 |
| 1.6335 | 2.0 | 13332 | 1.4992 | 0.2843 | 18.7733 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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