readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: twitter-roberta-base-stance-abortionV2
    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. -->
  
  # twitter-roberta-base-stance-abortionV2
  
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-stance-abortion](https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-abortion) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.6303
  - F1: 0.3333
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.5309        | 1.0   | 6    | 2.4493          | 0.3333 |
  | 1.5447        | 2.0   | 12   | 3.3897          | 0.3333 |
  | 0.6587        | 3.0   | 18   | 3.7403          | 0.3333 |
  | 1.1192        | 4.0   | 24   | 3.7816          | 0.3333 |
  | 1.2303        | 5.0   | 30   | 3.6303          | 0.3333 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  