readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: stock_sentiment_hp
    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. -->
  
  # stock_sentiment_hp
  
  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: 0.3513
  - Accuracy: 0.7899
  
  ## 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: 1.1207606211860571e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 2
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 325  | 0.3687          | 0.7652   |
  | 0.3705        | 2.0   | 650  | 0.3336          | 0.7809   |
  | 0.3705        | 3.0   | 975  | 0.3449          | 0.7926   |
  | 0.2435        | 4.0   | 1300 | 0.3513          | 0.7899   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  