readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-uncased-finetuned-lowR100-5-uncased-DA-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-lowR100-5-uncased-DA-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: 1.9006
  
  ## 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: 30
  - eval_batch_size: 30
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 40.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.5116        | 1.0   | 1    | 6.5297          |
  | 6.6949        | 2.0   | 2    | 6.9289          |
  | 6.0946        | 3.0   | 3    | 7.6464          |
  | 5.8742        | 4.0   | 4    | 4.8191          |
  | 5.4365        | 5.0   | 5    | 6.1273          |
  | 5.171         | 6.0   | 6    | 4.5528          |
  | 4.4944        | 7.0   | 7    | 4.8541          |
  | 4.1146        | 8.0   | 8    | 3.4321          |
  | 3.4689        | 9.0   | 9    | 2.4818          |
  | 3.6228        | 10.0  | 10   | 2.4444          |
  | 3.147         | 11.0  | 11   | 1.0668          |
  | 2.969         | 12.0  | 12   | 3.5394          |
  | 2.9788        | 13.0  | 13   | 3.1681          |
  | 2.9108        | 14.0  | 14   | 1.6325          |
  | 2.9377        | 15.0  | 15   | 2.0480          |
  | 2.6179        | 16.0  | 16   | 2.6157          |
  | 2.8978        | 17.0  | 17   | 3.3663          |
  | 2.6496        | 18.0  | 18   | 2.6341          |
  | 2.592         | 19.0  | 19   | 2.6462          |
  | 2.5212        | 20.0  | 20   | 2.2172          |
  | 2.402         | 21.0  | 21   | 3.3419          |
  | 2.3146        | 22.0  | 22   | 1.8095          |
  | 2.5215        | 23.0  | 23   | 2.7622          |
  | 2.1736        | 24.0  | 24   | 3.9402          |
  | 2.4366        | 25.0  | 25   | 2.3742          |
  | 2.1603        | 26.0  | 26   | 2.4520          |
  | 2.21          | 27.0  | 27   | 3.8185          |
  | 2.1954        | 28.0  | 28   | 4.0015          |
  | 2.6556        | 29.0  | 29   | 2.4132          |
  | 2.3936        | 30.0  | 30   | 3.8690          |
  | 2.2442        | 31.0  | 31   | 3.7408          |
  | 2.2486        | 32.0  | 32   | 2.5657          |
  | 2.5066        | 33.0  | 33   | 3.6632          |
  | 2.0527        | 34.0  | 34   | 2.9892          |
  | 2.6207        | 35.0  | 35   | 3.5594          |
  | 2.296         | 36.0  | 36   | 2.3785          |
  | 2.4068        | 37.0  | 37   | 3.6126          |
  | 2.257         | 38.0  | 38   | 1.0477          |
  | 2.0597        | 39.0  | 39   | 1.5386          |
  | 2.1702        | 40.0  | 40   | 2.4686          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  