readme: ---
  license: apache-2.0
  datasets:
  - null
  model_index:
  - name: dear-jarvis-v5
    results:
    - task:
        name: Text Classification
        type: text-classification
  ---
  
  <!-- 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. -->
  
  # dear-jarvis-v5
  
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3148
  
  ## 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: 32
  - 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
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 470  | 0.3106          |
  | 0.3452        | 2.0   | 940  | 0.3064          |
  | 0.2692        | 3.0   | 1410 | 0.3148          |
  
  
  ### Framework versions
  
  - Transformers 4.7.0
  - Pytorch 1.9.0+cu102
  - Datasets 1.8.0
  - Tokenizers 0.10.3
  