readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: mental-bert-base-uncased-masked_finetuned-0517
    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. -->
  
  # mental-bert-base-uncased-masked_finetuned-0517
  
  This model is a fine-tuned version of [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5217
  - Accuracy: 0.917
  - F1: 0.9171
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
  | No log        | 1.0   | 3000  | 0.2922          | 0.8993   | 0.8997 |
  | No log        | 2.0   | 6000  | 0.3964          | 0.9063   | 0.9069 |
  | No log        | 3.0   | 9000  | 0.4456          | 0.9197   | 0.9197 |
  | No log        | 4.0   | 12000 | 0.5217          | 0.917    | 0.9171 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  