readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-uncased-Regression-Edmunds_Car_Reviews-all_car_brands
    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. -->
  
  # distilbert-base-uncased-Regression-Edmunds_Car_Reviews-all_car_brands
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2232
  - Mse: 0.2232
  - Rmse: 0.4724
  - Mae: 0.3150
  
  ## 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: 1.5e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mse    | Rmse   | Mae    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
  | 0.3936        | 1.0   | 2592 | 0.2282          | 0.2282 | 0.4777 | 0.3158 |
  | 0.2163        | 2.0   | 5184 | 0.2160          | 0.2160 | 0.4647 | 0.3106 |
  
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  