readme: ---
  language: ti
  widget:
  - text: "ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር"
  metrics:
  - f1
  - precision
  - recall
  - accuracy
  model-index:
  - name: tielectra-small-sentiment
    results:
    - task:
        name: Text Classification
        type: text-classification
      metrics:
      - name: F1
        type: f1
        value: 0.8228962818003914
      - name: Precision
        type: precision
        value: 0.8055555555555556
      - name: Recall
        type: recall
        value: 0.841
      - name: Accuracy
        type: accuracy
        value: 0.819
  ---
  
  
  # Sentiment Analysis for Tigrinya with TiELECTRA small
  
  This model is a fine-tuned version of [TiELECTRA small](https://huggingface.co/fgaim/tielectra-small) on a YouTube comments Sentiment Analysis dataset for Tigrinya (Tela et al. 2020).
  
  
  ## Basic usage
  
  ```python
  from transformers import pipeline
  
  ti_sent = pipeline("sentiment-analysis", model="fgaim/tielectra-small-sentiment")
  ti_sent("ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር")
  ```
  
  
  ## Training
  
  ### Hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Results
  
  The model achieves the following results on the evaluation set:
  - F1: 0.8229
  - Precision: 0.8056
  - Recall: 0.841
  - Accuracy: 0.819
  - Loss: 0.4299
  
  ### Framework versions
  
  - Transformers 4.10.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.10.2
  - Tokenizers 0.10.1
  
  
  ## Citation
  
  If you use this model in your product or research, please cite as follows:
  
  ```
  @article{Fitsum2021TiPLMs,
    author={Fitsum Gaim and Wonsuk Yang and Jong C. Park},
    title={Monolingual Pre-trained Language Models for Tigrinya},
    year=2021,
    publisher= {WiNLP 2021/EMNLP 2021}
  }
  ```
  
  
  ## References
  
  ```
  Tela, A., Woubie, A. and Hautamäki, V. 2020.
  Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya.
  ArXiv, abs/2006.07698.
  ```
  