readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-sigir-LR100-0-cased-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-cased-sigir-LR100-0-cased-20
  
  This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5289
  
  ## 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: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.0635        | 1.0   | 1    | 6.6184          |
  | 7.131         | 2.0   | 2    | 7.0072          |
  | 7.0969        | 3.0   | 3    | 5.8833          |
  | 6.087         | 4.0   | 4    | 5.2094          |
  | 5.8314        | 5.0   | 5    | 5.3317          |
  | 5.1807        | 6.0   | 6    | 5.0294          |
  | 5.0853        | 7.0   | 7    | 4.3234          |
  | 4.5785        | 8.0   | 8    | 4.0070          |
  | 4.0047        | 9.0   | 9    | 3.5287          |
  | 3.5236        | 10.0  | 10   | 4.0761          |
  | 4.2192        | 11.0  | 11   | 3.2353          |
  | 3.6715        | 12.0  | 12   | 3.6203          |
  | 3.4242        | 13.0  | 13   | 2.7801          |
  | 3.1152        | 14.0  | 14   | 3.6127          |
  | 2.9266        | 15.0  | 15   | 2.2571          |
  | 3.4507        | 16.0  | 16   | 2.8120          |
  | 3.0439        | 17.0  | 17   | 3.1393          |
  | 2.6443        | 18.0  | 18   | 3.4350          |
  | 2.8907        | 19.0  | 19   | 1.0329          |
  | 2.8591        | 20.0  | 20   | 2.0586          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  