readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-cased-distilled-squad-coffee20230108
    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-cased-distilled-squad-coffee20230108
  
  This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.4291
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 92   | 1.8403          |
  | 2.3138        | 2.0   | 184  | 1.7960          |
  | 1.5166        | 3.0   | 276  | 1.8769          |
  | 0.9893        | 4.0   | 368  | 2.0993          |
  | 0.7197        | 5.0   | 460  | 2.5598          |
  | 0.4902        | 6.0   | 552  | 2.9495          |
  | 0.4027        | 7.0   | 644  | 2.9910          |
  | 0.3031        | 8.0   | 736  | 3.4344          |
  | 0.1708        | 9.0   | 828  | 3.9058          |
  | 0.1239        | 10.0  | 920  | 3.9043          |
  | 0.0651        | 11.0  | 1012 | 4.0318          |
  | 0.0394        | 12.0  | 1104 | 4.0876          |
  | 0.0394        | 13.0  | 1196 | 4.3854          |
  | 0.0174        | 14.0  | 1288 | 4.4298          |
  | 0.0063        | 15.0  | 1380 | 4.4291          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  