readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: distilbert-base-uncased-finetuned-zindi_tweets
    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. -->
  
  # distilbert-base-uncased-finetuned-zindi_tweets
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3203
  - Accuracy: 0.9168
  - F1: 0.9168
  
  ## 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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.4224        | 1.0   | 67   | 0.2924          | 0.8894   | 0.8893 |
  | 0.2096        | 2.0   | 134  | 0.2632          | 0.9055   | 0.9055 |
  | 0.1329        | 3.0   | 201  | 0.2744          | 0.9102   | 0.9101 |
  | 0.1016        | 4.0   | 268  | 0.2868          | 0.9055   | 0.9054 |
  | 0.0752        | 5.0   | 335  | 0.2896          | 0.9140   | 0.9140 |
  | 0.0454        | 6.0   | 402  | 0.3077          | 0.9178   | 0.9178 |
  | 0.0305        | 7.0   | 469  | 0.3185          | 0.9149   | 0.9149 |
  | 0.0298        | 8.0   | 536  | 0.3203          | 0.9168   | 0.9168 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  