readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-small-finetuned-parsed20
    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-parsed20
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1193
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 4    | 3.0763          |
  | No log        | 2.0   | 8    | 2.8723          |
  | No log        | 3.0   | 12   | 3.5102          |
  | No log        | 4.0   | 16   | 2.8641          |
  | No log        | 5.0   | 20   | 2.7827          |
  | No log        | 6.0   | 24   | 2.8163          |
  | No log        | 7.0   | 28   | 3.2415          |
  | No log        | 8.0   | 32   | 3.0477          |
  | No log        | 9.0   | 36   | 3.5160          |
  | No log        | 10.0  | 40   | 3.1248          |
  | No log        | 11.0  | 44   | 3.2159          |
  | No log        | 12.0  | 48   | 3.2177          |
  | No log        | 13.0  | 52   | 2.9108          |
  | No log        | 14.0  | 56   | 3.3758          |
  | No log        | 15.0  | 60   | 3.1335          |
  | No log        | 16.0  | 64   | 2.9753          |
  | No log        | 17.0  | 68   | 2.9922          |
  | No log        | 18.0  | 72   | 3.2798          |
  | No log        | 19.0  | 76   | 2.7280          |
  | No log        | 20.0  | 80   | 3.1193          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  