readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-cased-coffee20230113
    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. -->
  
  # bert-base-cased-coffee20230113
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.1553
  
  ## 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   | 88   | 4.3261          |
  | 5.3354        | 2.0   | 176  | 2.8499          |
  | 3.0455        | 3.0   | 264  | 2.3299          |
  | 1.9373        | 4.0   | 352  | 2.5522          |
  | 1.2186        | 5.0   | 440  | 3.1720          |
  | 0.8601        | 6.0   | 528  | 3.0420          |
  | 0.6784        | 7.0   | 616  | 3.4801          |
  | 0.4319        | 8.0   | 704  | 3.7463          |
  | 0.4319        | 9.0   | 792  | 4.1014          |
  | 0.3164        | 10.0  | 880  | 4.2563          |
  | 0.2039        | 11.0  | 968  | 4.4461          |
  | 0.1202        | 12.0  | 1056 | 4.8725          |
  | 0.0491        | 13.0  | 1144 | 4.7507          |
  | 0.031         | 14.0  | 1232 | 5.1064          |
  | 0.0133        | 15.0  | 1320 | 5.1553          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  