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@@ -8,14 +8,15 @@ metrics:
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  model-index:
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  - name: flan-t5-base-eng-hwp
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  results: []
 
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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- # flan-t5-base-eng-hwp
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-
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5058
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  - Bleu: 4.9532
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
 
 
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- More information needed
 
 
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  ## Training and evaluation data
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- More information needed
 
 
 
 
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  ## Training procedure
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: flan-t5-base-eng-hwp
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  results: []
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: translation
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  ---
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+ # English-Hawaiian Pidgin Translator | flan-t5-base-eng-hwp
 
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+ 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.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5058
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  - Bleu: 4.9532
 
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  ## Model description
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+ ### Running the model
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+ The [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) documentation has more details on running the model.
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+
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+ However, to use this model to translate English to Hawaiian Pidgin, enter ``"translate English to Hawaiian Pidgin: "`` before your statement.
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+ 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."``
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+ 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.
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  ## Training and evaluation data
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+ 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](). -->
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+
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+ ## Intended uses & limitations
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+
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+ 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.
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  ## Training procedure
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
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+
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+ ## Resources
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+ - 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
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+
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+ - 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
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+
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+ - _Hawaii Pidgin_. (2017). Wycliffe. https://www.biblegateway.com/versions/Hawaii-Pidgin-HWP/ (Original work published 2000)
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+ - _King James Bible_. (2017). BibleGateway.com. https://www.biblegateway.com/versions/king-james-version-kjv-bible/ (Original work published 1769)
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+
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+ - T5. (n.d.). Huggingface.co. https://huggingface.co/docs/transformers/model_doc/t5
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+
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+ - Translation. (n.d.). Huggingface.co. Retrieved October 18, 2023, from https://huggingface.co/docs/transformers/tasks/translation