readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: vxnli-v1
    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. -->
  
  # vxnli-v1
  
  This model is a fine-tuned version of [kwkty/vxnli-v0](https://huggingface.co/kwkty/vxnli-v0) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2262
  - Exact Match: 0.6407
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Exact Match |
  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
  | 0.1092        | 1.0   | 158  | 0.1820          | 0.5704      |
  | 0.0432        | 2.0   | 316  | 0.2149          | 0.5593      |
  | 0.0266        | 3.0   | 474  | 0.2721          | 0.5370      |
  | 0.0193        | 4.0   | 632  | 0.2456          | 0.5889      |
  | 0.0168        | 5.0   | 790  | 0.2382          | 0.6111      |
  | 0.0138        | 6.0   | 948  | 0.2910          | 0.5741      |
  | 0.0146        | 7.0   | 1106 | 0.2559          | 0.5889      |
  | 0.0078        | 8.0   | 1264 | 0.2927          | 0.5630      |
  | 0.0073        | 9.0   | 1422 | 0.3346          | 0.5741      |
  | 0.0063        | 10.0  | 1580 | 0.3308          | 0.5481      |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  