readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-issues-128
    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-issues-128
  
  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: 1.2312
  
  ## 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: 128
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.3399        | 1.0   | 73   | 1.7462          |
  | 1.799         | 2.0   | 146  | 1.4703          |
  | 1.6353        | 3.0   | 219  | 1.4796          |
  | 1.5464        | 4.0   | 292  | 1.3851          |
  | 1.4697        | 5.0   | 365  | 1.3032          |
  | 1.4146        | 6.0   | 438  | 1.3339          |
  | 1.3677        | 7.0   | 511  | 1.3349          |
  | 1.3345        | 8.0   | 584  | 1.2818          |
  | 1.3053        | 9.0   | 657  | 1.2646          |
  | 1.2886        | 10.0  | 730  | 1.2355          |
  | 1.278         | 11.0  | 803  | 1.3037          |
  | 1.2568        | 12.0  | 876  | 1.1511          |
  | 1.2399        | 13.0  | 949  | 1.2578          |
  | 1.2369        | 14.0  | 1022 | 1.2487          |
  | 1.2165        | 15.0  | 1095 | 1.2581          |
  | 1.2289        | 16.0  | 1168 | 1.2312          |
  
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.11.0+cu113
  - Datasets 2.7.1
  - Tokenizers 0.12.1
  