readme: ---
  license: mit
  tags:
  - generated_from_trainer
  widget:
  - text: "I feel so low and numb, don't feel like doing anything. Just passing my days"
  - text: "Sleep is my greatest and most comforting escape whenever I wake up these days. The literal very first emotion I feel is just misery and reminding myself of all my problems."
  - text: "I went to a movie today. It was below my expectations but the day was fine."
  - text: "The first day of work was a little hectic but met pretty good colleagues, we went for a team dinner party at the end of the day."
  
  metrics:
  - accuracy
  model-index:
  - name: finetuned-roberta-depression
    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. -->
  
  # finetuned-roberta-depression
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1385
  - Accuracy: 0.9745
  
  ## 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: 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: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.0238        | 1.0   | 625  | 0.1385          | 0.9745   |
  | 0.0333        | 2.0   | 1250 | 0.1385          | 0.9745   |
  | 0.0263        | 3.0   | 1875 | 0.1385          | 0.9745   |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  