readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-uncased-finetuned-DA-Zero-shot
    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
  
  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: 1.1318
  
  ## 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: 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: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.1282        | 1.0   | 435  | 1.3862          |
  | 1.1307        | 2.0   | 870  | 1.3362          |
  | 1.2243        | 3.0   | 1305 | 1.2791          |
  | 1.274         | 4.0   | 1740 | 1.2143          |
  | 1.2296        | 5.0   | 2175 | 1.1799          |
  | 1.1773        | 6.0   | 2610 | 1.1550          |
  | 1.1519        | 7.0   | 3045 | 1.1295          |
  | 1.1406        | 8.0   | 3480 | 1.1064          |
  | 1.114         | 9.0   | 3915 | 1.1303          |
  | 1.1058        | 10.0  | 4350 | 1.1214          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  