readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: SAE-distilbert-base-uncased
    results: []
  widget:
  - text: "Wind noise was detected coming from the car [MASK] closure system."
    example_title: "Closure system"
   
  ---
  
  # SAE-distilbert-base-uncased
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [jgammack/SAE-door-abstracts](https://huggingface.co/datasets/jgammack/SAE-door-abstracts) dataset.
  
  It achieves the following results on the evaluation set:
  - Loss: 2.2970
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 15
  - eval_batch_size: 15
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5323        | 1.0   | 37   | 2.4503          |
  | 2.4968        | 2.0   | 74   | 2.4571          |
  | 2.4688        | 3.0   | 111  | 2.4099          |
  | 2.419         | 4.0   | 148  | 2.3343          |
  | 2.4229        | 5.0   | 185  | 2.3072          |
  | 2.4067        | 6.0   | 222  | 2.2927          |
  | 2.3877        | 7.0   | 259  | 2.2836          |
  | 2.374         | 8.0   | 296  | 2.3767          |
  | 2.3582        | 9.0   | 333  | 2.2493          |
  | 2.356         | 10.0  | 370  | 2.2847          |
  | 2.3294        | 11.0  | 407  | 2.3234          |
  | 2.3358        | 12.0  | 444  | 2.2660          |
  | 2.3414        | 13.0  | 481  | 2.2887          |
  | 2.3154        | 14.0  | 518  | 2.3737          |
  | 2.311         | 15.0  | 555  | 2.2686          |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  