readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: finetuning-sentiment-hausa1
    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. -->
  
  # finetuning-sentiment-hausa1
  
  This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-finetuned-hausa](https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-hausa) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 1.0989
  - eval_accuracy: 0.3441
  - eval_f1: 0.1762
  - eval_runtime: 942.2462
  - eval_samples_per_second: 4.513
  - eval_steps_per_second: 0.282
  - step: 0
  
  ## 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: 0.002
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  