readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-small-finetuned-finetuned-finer-longer10
    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-small-finetuned-finetuned-finer-longer10
  
  This model is a fine-tuned version of [muhtasham/bert-small-finetuned-finer](https://huggingface.co/muhtasham/bert-small-finetuned-finer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3791
  
  ## 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: 2e-05
  - train_batch_size: 128
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.5687        | 1.0   | 2433  | 1.5357          |
  | 1.5081        | 2.0   | 4866  | 1.4759          |
  | 1.4813        | 3.0   | 7299  | 1.4337          |
  | 1.4453        | 4.0   | 9732  | 1.4084          |
  | 1.4257        | 5.0   | 12165 | 1.3913          |
  | 1.4155        | 6.0   | 14598 | 1.3855          |
  | 1.4057        | 7.0   | 17031 | 1.3791          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  