Sunbird / e2m_best_19_4_23

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 19 2023
text2text-generation

Introduction of e2m_best_19_4_23

Model Details of e2m_best_19_4_23

Usage

Translates to Acholi, Lugbara, Luganda, Runyankole and Ateso

Make sure to add a target language and dataset tags before a source sentence.

Ex. >>lug_hq<< I want Posho ---> Njagala Posho

For biblical style translations attempt to use the ood tag

Ex. >>lug_ood<< And thus spoke the LORD to the masses on the mountain

We these other tags which you might want to try [ggl, bt, hq, ood]

Language tags [ach, lgg, lug, nyn, teo]

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 5000
  • total_train_batch_size: 5000
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • label_smoothing_factor: 0.1
Framework versions
  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Tokenizers 0.13.3

Runs of Sunbird e2m_best_19_4_23 on huggingface.co

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More Information About e2m_best_19_4_23 huggingface.co Model

e2m_best_19_4_23 huggingface.co

e2m_best_19_4_23 huggingface.co is an AI model on huggingface.co that provides e2m_best_19_4_23's model effect (), which can be used instantly with this Sunbird e2m_best_19_4_23 model. huggingface.co supports a free trial of the e2m_best_19_4_23 model, and also provides paid use of the e2m_best_19_4_23. Support call e2m_best_19_4_23 model through api, including Node.js, Python, http.

e2m_best_19_4_23 huggingface.co Url

https://huggingface.co/Sunbird/e2m_best_19_4_23

Sunbird e2m_best_19_4_23 online free

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Sunbird e2m_best_19_4_23 online free url in huggingface.co:

https://huggingface.co/Sunbird/e2m_best_19_4_23

e2m_best_19_4_23 install

e2m_best_19_4_23 is an open source model from GitHub that offers a free installation service, and any user can find e2m_best_19_4_23 on GitHub to install. At the same time, huggingface.co provides the effect of e2m_best_19_4_23 install, users can directly use e2m_best_19_4_23 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

e2m_best_19_4_23 install url in huggingface.co:

https://huggingface.co/Sunbird/e2m_best_19_4_23

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