readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - swahili_news
  model-index:
  - name: TUS-swahili-news
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # TUS-swahili-news
  
  This model is a fine-tuned version of [eolang/TUS](https://huggingface.co/eolang/TUS) on the swahili_news dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.6283
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.1478        | 1.0   | 1010 | 6.8678          |
  | 6.8352        | 2.0   | 2020 | 6.6895          |
  | 6.7224        | 3.0   | 3030 | 6.6197          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  