readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: mental-bert-base-uncased-finetuned-0505
    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-finetuned-0505
  
  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: 0.4195
  - Accuracy: 0.9181
  - F1: 0.9182
  
  ## 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   | 1373 | 0.2846          | 0.9124   | 0.9119 |
  | No log        | 2.0   | 2746 | 0.3468          | 0.9132   | 0.9129 |
  | No log        | 3.0   | 4119 | 0.3847          | 0.9189   | 0.9192 |
  | No log        | 4.0   | 5492 | 0.4195          | 0.9181   | 0.9182 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  