readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-uncased-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-uncased-distilled-squad-coffee20230108
  
  This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.3444
  
  ## 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   | 89   | 1.9198          |
  | 2.3879        | 2.0   | 178  | 1.8526          |
  | 1.5528        | 3.0   | 267  | 1.8428          |
  | 1.1473        | 4.0   | 356  | 2.4035          |
  | 0.7375        | 5.0   | 445  | 2.3232          |
  | 0.5986        | 6.0   | 534  | 2.4550          |
  | 0.4252        | 7.0   | 623  | 3.2831          |
  | 0.2612        | 8.0   | 712  | 3.2129          |
  | 0.143         | 9.0   | 801  | 3.7849          |
  | 0.143         | 10.0  | 890  | 3.8476          |
  | 0.0984        | 11.0  | 979  | 4.1742          |
  | 0.0581        | 12.0  | 1068 | 4.3476          |
  | 0.0157        | 13.0  | 1157 | 4.3818          |
  | 0.0131        | 14.0  | 1246 | 4.3357          |
  | 0.0059        | 15.0  | 1335 | 4.3444          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  