Hugging Face's logo
---
language: 
- yo
- en
datasets:
- JW300 + [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
---
# byt5-base-eng-yor-mt
## Model description
**byt5-base-eng-yor-mt** is a **machine translation** model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a **strong baseline** for automatically translating texts from English to Yorùbá.  

Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)

#### Limitations and bias
This model is limited by its training dataset. This may not generalize well for all use cases in different domains.  
## Training data
This model was fine-tuned on on  JW300 corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) dataset

## Training procedure
This model was trained on NVIDIA V100 GPU

## Eval results on Test set (BLEU score)
Fine-tuning byt5-base achieves **12.23 BLEU** on [Menyo-20k test set](https://arxiv.org/abs/2103.08647) while mt5-base achieves 9.82

### BibTeX entry and citation info
By David Adelani
```

```



{}
transformers pytorch safetensors t5 text2text-generation arxiv:2103.08647 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #t5 #text2text-generation #arxiv-2103.08647 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

Hugging Face's logo
---
language: 
- yo
- en
datasets:
- JW300 + Menyo-20k
---
# byt5-base-eng-yor-mt
## Model description
byt5-base-eng-yor-mt is a machine translation model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a strong baseline for automatically translating texts from English to Yorùbá.  

Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and Menyo-20k

#### Limitations and bias
This model is limited by its training dataset. This may not generalize well for all use cases in different domains.  
## Training data
This model was fine-tuned on on  JW300 corpus and Menyo-20k dataset

## Training procedure
This model was trained on NVIDIA V100 GPU

## Eval results on Test set (BLEU score)
Fine-tuning byt5-base achieves 12.23 BLEU on Menyo-20k test set while mt5-base achieves 9.82

### BibTeX entry and citation info
By David Adelani




# byt5-base-eng-yor-mt ## Model description
byt5-base-eng-yor-mt is a machine translation model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a strong baseline for automatically translating texts from English to Yorùbá.  

Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and Menyo-20k #### Limitations and bias
This model is limited by its training dataset. This may not generalize well for all use cases in different domains. ## Training data
This model was fine-tuned on on  JW300 corpus and Menyo-20k dataset ## Training procedure
This model was trained on NVIDIA V100 GPU ## Eval results on Test set (BLEU score)
Fine-tuning byt5-base achieves 12.23 BLEU on Menyo-20k test set while mt5-base achieves 9.82 ### BibTeX entry and citation info
By David Adelani
TAGS
#transformers #pytorch #safetensors #t5 #text2text-generation #arxiv-2103.08647 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # byt5-base-eng-yor-mt ## Model description
byt5-base-eng-yor-mt is a machine translation model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a strong baseline for automatically translating texts from English to Yorùbá.  

Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and Menyo-20k #### Limitations and bias
This model is limited by its training dataset. This may not generalize well for all use cases in different domains. ## Training data
This model was fine-tuned on on  JW300 corpus and Menyo-20k dataset ## Training procedure
This model was trained on NVIDIA V100 GPU ## Eval results on Test set (BLEU score)
Fine-tuning byt5-base achieves 12.23 BLEU on Menyo-20k test set while mt5-base achieves 9.82 ### BibTeX entry and citation info
By David Adelani
passage: TAGS
#transformers #pytorch #safetensors #t5 #text2text-generation #arxiv-2103.08647 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# byt5-base-eng-yor-mt## Model description
byt5-base-eng-yor-mt is a machine translation model from English language to Yorùbá language based on a fine-tuned  byt5-base  model.  It establishes a strong baseline for automatically translating texts from English to Yorùbá.  

Specifically, this model is a *byt5-base* model that was fine-tuned on  JW300 Yorùbá corpus and Menyo-20k#### Limitations and bias
This model is limited by its training dataset. This may not generalize well for all use cases in different domains.## Training data
This model was fine-tuned on on  JW300 corpus and Menyo-20k dataset## Training procedure
This model was trained on NVIDIA V100 GPU## Eval results on Test set (BLEU score)
Fine-tuning byt5-base achieves 12.23 BLEU on Menyo-20k test set while mt5-base achieves 9.82### BibTeX entry and citation info
By David Adelani