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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-base-eng-hwp
results: []
language:
- en
library_name: transformers
pipeline_tag: translation
widget:
- text: "translate English to Hawaiian Pidgin: We ate dinner and baked a cake today."
example_title: "Example 1"
- text: "translate English to Hawaiian Pidgin: My friend went shopping at Ala Moana yesterday."
example_title: "Example 2"
---
# English-Hawaiian Pidgin Translator | flan-t5-base-eng-hwp
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on a English and Hawaiian Pidgin dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5058
- Bleu: 4.9532
- Gen Len: 18.8709
## Model description
### Running the model
The [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) documentation has more details on running the model.
However, to use this model to translate English to Hawaiian Pidgin, enter ``"translate English to Hawaiian Pidgin: "`` before your statement.
For example, if you would like to translate "I went to Ala Moana today to go shopping" please tokenize all of the following: ``"translate English to Hawaiian Pidgin: I went to Ala Moana today to go shopping."``
If you are trying the [English-Hawaiian Pidgin Translator](https://huggingface.co/spaces/claudiatang/english_to_hawaiian-pidgin) space, there is no need for the input prefix, as it is automatically added.
## Training and evaluation data
There are not many English-Hawaiian Pidgin parallel corpora that are easily accessible. A parallel dataset, similar to [bible_para](https://huggingface.co/datasets/bible_para), was compiled by scraping the Hawaiʻi Pidgin Version (HWP) and the King James Version (KJV) from [biblegateway.com](https://www.biblegateway.com/). <!--- For more information, please refer to [this notebook](). -->
## Intended uses & limitations
Due to a limited set of training and evaluation data, this model has many limitations, such as not knowing certain Hawaiian Pidgin phrases or having trouble with longer sentences.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- 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: 12
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 420 | 1.6158 | 3.6321 | 18.892 |
| 2.1318 | 2.0 | 840 | 1.4711 | 4.19 | 18.8743 |
| 1.5146 | 3.0 | 1260 | 1.4193 | 4.3921 | 18.8608 |
| 1.2936 | 4.0 | 1680 | 1.3936 | 4.5268 | 18.8363 |
| 1.1403 | 5.0 | 2100 | 1.4030 | 4.6813 | 18.8608 |
| 1.0284 | 6.0 | 2520 | 1.4078 | 4.8234 | 18.8684 |
| 1.0284 | 7.0 | 2940 | 1.4192 | 4.8126 | 18.8709 |
| 0.9196 | 8.0 | 3360 | 1.4303 | 4.8599 | 18.87 |
| 0.8459 | 9.0 | 3780 | 1.4506 | 4.7802 | 18.8599 |
| 0.7884 | 10.0 | 4200 | 1.4757 | 4.8895 | 18.8785 |
| 0.739 | 11.0 | 4620 | 1.4945 | 4.9126 | 18.8759 |
| 0.7083 | 12.0 | 5040 | 1.5058 | 4.9532 | 18.8709 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
## Resources
- Christodouloupoulos, C., & Steedman, M. (2014). A massively parallel corpus: the Bible in 100 languages. Language Resources and Evaluation, 49(2), 375–395. https://doi.org/10.1007/s10579-014-9287-y
- Chung, H. W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., … Wei, J. (2022). _Scaling Instruction-Finetuned Language Models._ doi:10.48550/ARXIV.2210.11416
- _Hawaii Pidgin_. (2017). Wycliffe. https://www.biblegateway.com/versions/Hawaii-Pidgin-HWP/ (Original work published 2000)
- _King James Bible_. (2017). BibleGateway.com. https://www.biblegateway.com/versions/king-james-version-kjv-bible/ (Original work published 1769)
- T5. (n.d.). Huggingface.co. https://huggingface.co/docs/transformers/model_doc/t5
- Translation. (n.d.). Huggingface.co. Retrieved October 18, 2023, from https://huggingface.co/docs/transformers/tasks/translation |