readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED
    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. -->
  
  # finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED
  
  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2741
  - Accuracy: 0.7475
  - F1: 0.7253
  
  ## 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: 6e-05
  - train_batch_size: 48
  - eval_batch_size: 48
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | No log        | 1.0   | 249  | 0.9150          | 0.7346   | 0.6484 |
  | No log        | 2.0   | 498  | 0.8837          | 0.6210   | 0.6317 |
  | 1.033         | 3.0   | 747  | 0.8460          | 0.6485   | 0.6666 |
  | 1.033         | 4.0   | 996  | 1.0089          | 0.6831   | 0.6909 |
  | 0.5642        | 5.0   | 1245 | 1.2507          | 0.7352   | 0.7152 |
  | 0.5642        | 6.0   | 1494 | 1.3241          | 0.7129   | 0.7042 |
  | 0.2078        | 7.0   | 1743 | 1.5163          | 0.7528   | 0.7230 |
  | 0.2078        | 8.0   | 1992 | 1.5818          | 0.7352   | 0.7236 |
  | 0.1108        | 9.0   | 2241 | 1.7930          | 0.7012   | 0.7046 |
  | 0.1108        | 10.0  | 2490 | 1.8262          | 0.7305   | 0.7211 |
  | 0.07          | 11.0  | 2739 | 2.0415          | 0.7440   | 0.7192 |
  | 0.07          | 12.0  | 2988 | 2.1260          | 0.7563   | 0.7230 |
  | 0.0392        | 13.0  | 3237 | 2.1502          | 0.7528   | 0.7323 |
  | 0.0392        | 14.0  | 3486 | 2.2117          | 0.7516   | 0.7270 |
  | 0.0174        | 15.0  | 3735 | 2.2657          | 0.7405   | 0.7236 |
  | 0.0174        | 16.0  | 3984 | 2.2741          | 0.7475   | 0.7253 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.9.1
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  