readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-uncased-finetuned-DA-Zero-shot-20
    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-large-uncased-finetuned-DA-Zero-shot-20
  
  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0118
  
  ## 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: 1e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.6214        | 1.0   | 435  | 1.1818          |
  | 0.6285        | 2.0   | 870  | 1.2124          |
  | 0.713         | 3.0   | 1305 | 1.1673          |
  | 0.7902        | 4.0   | 1740 | 1.1342          |
  | 0.8051        | 5.0   | 2175 | 1.1042          |
  | 0.8167        | 6.0   | 2610 | 1.1086          |
  | 0.8412        | 7.0   | 3045 | 1.0797          |
  | 0.8885        | 8.0   | 3480 | 1.0575          |
  | 0.918         | 9.0   | 3915 | 1.0749          |
  | 0.9765        | 10.0  | 4350 | 1.0565          |
  | 1.0009        | 11.0  | 4785 | 1.0509          |
  | 0.986         | 12.0  | 5220 | 1.0564          |
  | 0.9819        | 13.0  | 5655 | 1.0527          |
  | 0.9786        | 14.0  | 6090 | 1.0064          |
  | 0.9689        | 15.0  | 6525 | 1.0038          |
  | 0.9481        | 16.0  | 6960 | 1.0186          |
  | 0.955         | 17.0  | 7395 | 0.9860          |
  | 0.9481        | 18.0  | 7830 | 0.9914          |
  | 0.9452        | 19.0  | 8265 | 1.0173          |
  | 0.9452        | 20.0  | 8700 | 1.0050          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  