readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: crisis_sentiment_roberta
    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. -->
  
  # crisis_sentiment_roberta
  
  This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
  It achieves the following results on the testing set:
  - Accuracy: 0.83
  - Macro accuracy: 0.76
  - Weighted accuracy: 0.83
  
  ## Model description
  0. Negative 
  1. Positive
  2. Neutral
  
  Sentiment classification using 9,300 tweets of the Flint Water Crisis 
  
  ## 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: 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: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.4781        | 1.0   | 349  | 0.4452          | 0.8366   |
  | 0.2074        | 2.0   | 698  | 0.5010          | 0.8237   |
  | 0.047         | 3.0   | 1047 | 0.5772          | 0.8199   |
  | 0.0114        | 4.0   | 1396 | 0.7793          | 0.8226   |
  | 0.007         | 5.0   | 1745 | 0.8584          | 0.8188   |
  | 0.0144        | 6.0   | 2094 | 0.9517          | 0.8070   |
  | 0.0017        | 7.0   | 2443 | 1.0054          | 0.8231   |
  | 0.0013        | 8.0   | 2792 | 1.1297          | 0.8172   |
  | 0.0008        | 9.0   | 3141 | 1.1622          | 0.8263   |
  | 0.001         | 10.0  | 3490 | 1.2313          | 0.8204   |
  | 0.0006        | 11.0  | 3839 | 1.2360          | 0.8220   |
  | 0.0007        | 12.0  | 4188 | 1.2687          | 0.8161   |
  | 0.0004        | 13.0  | 4537 | 1.2940          | 0.8204   |
  | 0.0451        | 14.0  | 4886 | 1.3163          | 0.8194   |
  | 0.0004        | 15.0  | 5235 | 1.2991          | 0.8242   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.13.0.dev20220917+cu117
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  