readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-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-uncased-coffee20230113
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.9112
  
  ## 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   | 86   | 4.5257          |
  | 5.3762        | 2.0   | 172  | 3.1774          |
  | 3.2552        | 3.0   | 258  | 2.7228          |
  | 2.227         | 4.0   | 344  | 2.5844          |
  | 1.6128        | 5.0   | 430  | 2.8589          |
  | 1.098         | 6.0   | 516  | 2.8712          |
  | 0.7646        | 7.0   | 602  | 3.4380          |
  | 0.7646        | 8.0   | 688  | 3.6037          |
  | 0.4805        | 9.0   | 774  | 4.1493          |
  | 0.3258        | 10.0  | 860  | 4.2875          |
  | 0.2224        | 11.0  | 946  | 4.7041          |
  | 0.1477        | 12.0  | 1032 | 4.3993          |
  | 0.0699        | 13.0  | 1118 | 4.7922          |
  | 0.0377        | 14.0  | 1204 | 5.0445          |
  | 0.0377        | 15.0  | 1290 | 4.9112          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  