readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: ProsusAI-finbert-sentiment-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. -->
  
  # ProsusAI-finbert-sentiment-finetuned-memes
  
  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3093
  - Accuracy: 0.8407
  - Precision: 0.8412
  - Recall: 0.8407
  - F1: 0.8409
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | 0.467         | 1.0   | 2147  | 0.4178          | 0.7898   | 0.7882    | 0.7898 | 0.7883 |
  | 0.3669        | 2.0   | 4294  | 0.4876          | 0.7940   | 0.8073    | 0.7940 | 0.7961 |
  | 0.2801        | 3.0   | 6441  | 0.6222          | 0.8040   | 0.8034    | 0.8040 | 0.8037 |
  | 0.2402        | 4.0   | 8588  | 0.8062          | 0.8229   | 0.8219    | 0.8229 | 0.8211 |
  | 0.2099        | 5.0   | 10735 | 0.9219          | 0.8197   | 0.8263    | 0.8197 | 0.8211 |
  | 0.16          | 6.0   | 12882 | 1.0393          | 0.8312   | 0.8342    | 0.8312 | 0.8321 |
  | 0.1192        | 7.0   | 15029 | 1.1263          | 0.8333   | 0.8337    | 0.8333 | 0.8335 |
  | 0.0979        | 8.0   | 17176 | 1.2048          | 0.8328   | 0.8324    | 0.8328 | 0.8326 |
  | 0.0691        | 9.0   | 19323 | 1.2891          | 0.8323   | 0.8327    | 0.8323 | 0.8325 |
  | 0.0458        | 10.0  | 21470 | 1.3093          | 0.8407   | 0.8412    | 0.8407 | 0.8409 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 1.15.2.dev0
  - Tokenizers 0.10.1
  