readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: smalldata-pysentimiento-robertuito-eng-only-sentiment-single-finetuned-memes
    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. -->
  
  # smalldata-pysentimiento-robertuito-eng-only-sentiment-single-finetuned-memes
  
  This model is a fine-tuned version of [jayantapaul888/twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes](https://huggingface.co/jayantapaul888/twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3693
  - Accuracy: 0.8533
  - Precision: 0.8686
  - Recall: 0.8673
  - F1: 0.8678
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | No log        | 1.0   | 378  | 0.3505          | 0.8466   | 0.8687    | 0.8600 | 0.8608 |
  | 0.4239        | 2.0   | 756  | 0.3369          | 0.8570   | 0.8725    | 0.8700 | 0.8707 |
  | 0.325         | 3.0   | 1134 | 0.3286          | 0.8533   | 0.8700    | 0.8675 | 0.8677 |
  | 0.277         | 4.0   | 1512 | 0.3472          | 0.8533   | 0.8681    | 0.8680 | 0.8678 |
  | 0.277         | 5.0   | 1890 | 0.3538          | 0.8593   | 0.8736    | 0.8732 | 0.8734 |
  | 0.2438        | 6.0   | 2268 | 0.3693          | 0.8533   | 0.8686    | 0.8673 | 0.8678 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  