readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-small-finetuned-finetuned-parsed-longer50
    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-parsed-longer50
  
  This model is a fine-tuned version of [muhtasham/bert-small-finetuned-parsed20](https://huggingface.co/muhtasham/bert-small-finetuned-parsed20) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.9278
  
  ## 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 4    | 2.9807          |
  | No log        | 2.0   | 8    | 2.7267          |
  | No log        | 3.0   | 12   | 3.3484          |
  | No log        | 4.0   | 16   | 2.7573          |
  | No log        | 5.0   | 20   | 2.7063          |
  | No log        | 6.0   | 24   | 2.7353          |
  | No log        | 7.0   | 28   | 3.1290          |
  | No log        | 8.0   | 32   | 2.9371          |
  | No log        | 9.0   | 36   | 3.4265          |
  | No log        | 10.0  | 40   | 3.0537          |
  | No log        | 11.0  | 44   | 3.1382          |
  | No log        | 12.0  | 48   | 3.1454          |
  | No log        | 13.0  | 52   | 2.8379          |
  | No log        | 14.0  | 56   | 3.2760          |
  | No log        | 15.0  | 60   | 3.0504          |
  | No log        | 16.0  | 64   | 2.9001          |
  | No log        | 17.0  | 68   | 2.8892          |
  | No log        | 18.0  | 72   | 3.1837          |
  | No log        | 19.0  | 76   | 2.6404          |
  | No log        | 20.0  | 80   | 3.0600          |
  | No log        | 21.0  | 84   | 3.1432          |
  | No log        | 22.0  | 88   | 2.9608          |
  | No log        | 23.0  | 92   | 3.0513          |
  | No log        | 24.0  | 96   | 3.1038          |
  | No log        | 25.0  | 100  | 3.0975          |
  | No log        | 26.0  | 104  | 2.8977          |
  | No log        | 27.0  | 108  | 2.9416          |
  | No log        | 28.0  | 112  | 2.9015          |
  | No log        | 29.0  | 116  | 2.7947          |
  | No log        | 30.0  | 120  | 2.9278          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  