readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: twitter_RoBERTa_token_itr0_1e-05_essays_01_03_2022-14_58_58
    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_token_itr0_1e-05_essays_01_03_2022-14_58_58
  
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2698
  - Precision: 0.3554
  - Recall: 0.4884
  - F1: 0.4114
  - Accuracy: 0.8973
  
  ## 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: 1e-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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 11   | 0.4423          | 0.0261    | 0.0184 | 0.0216 | 0.7728   |
  | No log        | 2.0   | 22   | 0.3220          | 0.1256    | 0.3129 | 0.1793 | 0.8735   |
  | No log        | 3.0   | 33   | 0.2561          | 0.2633    | 0.4264 | 0.3255 | 0.9103   |
  | No log        | 4.0   | 44   | 0.2535          | 0.3303    | 0.4509 | 0.3813 | 0.9115   |
  | No log        | 5.0   | 55   | 0.2414          | 0.3696    | 0.4693 | 0.4135 | 0.9181   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.1+cu113
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  