|
--- |
|
language: ti |
|
widget: |
|
- text: "ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር" |
|
- text: "ወአመ ሳብዕት ዕለት ቦዘወፅአ እምውስተ ሕዝብ ከመ ያስተጋብእ ወኢረከበ።" |
|
- text: "እሊ እግል ኖሱ አሳስ ተጠውር ወዐቦት ክምሰልቱ ሸክ ኢወትውዴ።" |
|
- text: "ኣኩኽር ፡ ልሽክክ ናው ጀረቢነዅስክ ክሙኑኽር ክራውል ሕበርሲድኖ ገረሰነኵ።" |
|
- text: "ነገ ለግማሽ ፍፃሜ ያለፉትን አሳውቀንና አስመርጠናችሁ እንሸልማለን።" |
|
tags: |
|
- geezlab |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: geezswitch-tielectra |
|
results: [] |
|
license: cc-by-4.0 |
|
--- |
|
|
|
# TiELECTRA-GeezSwitch |
|
|
|
This model is a fine-tuned version of [fgaim/tielectra-small](https://huggingface.co/fgaim/tielectra-small) on the [GeezSwitch](https://github.com/fgaim/geezswitch-data) dataset. |
|
|
|
It achieves the following results on the test set: |
|
|
|
- F1: 0.9844 |
|
- Recall: 0.9844 |
|
- Precision: 0.9845 |
|
- Accuracy: 0.9844 |
|
- Loss: 0.2190 |
|
|
|
## Training |
|
|
|
### Hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
|
|
- learning_rate: 2e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
- seed: 42 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.0.dev0 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
|
|
|
### Citation |
|
|
|
If you use this model or the GeezSwitch model in your research, please cite as follows: |
|
|
|
```markdown |
|
@inproceedings{fgaim2022geezswitch, |
|
title={GeezSwitch: Language Identification in Typologically Related Low-resourced East African Languages}, |
|
author={Fitsum Gaim and Wonsuk Yang and Jong C. Park}, |
|
booktitle={Proceedings of the 13th Language Resources and Evaluation Conference}, |
|
year={2022} |
|
} |
|
``` |
|
|
