readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
    results: []
  widget:
  - text: "saint nicholas festival market"
    example_title: "Title"
  - text: "people buying sweets at the market."
    example_title: "Caption"
  
  ---
  
  <!-- 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. -->
  
  # Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
  
  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: 2.0133
  - Accuracy: 0.3496
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 18   | 1.9870          | 0.3333   |
  | No log        | 2.0   | 36   | 1.9731          | 0.3415   |
  | No log        | 3.0   | 54   | 2.0133          | 0.3496   |
  | No log        | 4.0   | 72   | 2.0809          | 0.3415   |
  | No log        | 5.0   | 90   | 2.1694          | 0.3008   |
  | No log        | 6.0   | 108  | 2.2611          | 0.2764   |
  | No log        | 7.0   | 126  | 2.2832          | 0.3008   |
  | No log        | 8.0   | 144  | 2.3670          | 0.2846   |
  | No log        | 9.0   | 162  | 2.4279          | 0.2683   |
  | No log        | 10.0  | 180  | 2.4460          | 0.3089   |
  | No log        | 11.0  | 198  | 2.5236          | 0.2846   |
  | No log        | 12.0  | 216  | 2.5896          | 0.3089   |
  | No log        | 13.0  | 234  | 2.6061          | 0.3008   |
  | No log        | 14.0  | 252  | 2.6813          | 0.2846   |
  | No log        | 15.0  | 270  | 2.6990          | 0.3252   |
  | No log        | 16.0  | 288  | 2.7439          | 0.3171   |
  | No log        | 17.0  | 306  | 2.7499          | 0.3415   |
  | No log        | 18.0  | 324  | 2.7737          | 0.3252   |
  | No log        | 19.0  | 342  | 2.7793          | 0.3252   |
  | No log        | 20.0  | 360  | 2.7775          | 0.3252   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  