readme: ---
  language:
  - en
  - ar
  - bg
  - de
  - el
  - fr
  - hi
  - ru
  - es
  - sw
  - th
  - tr
  - ur
  - vi
  - zh
  tags:
  - generated_from_trainer
  datasets:
  - xnli
  metrics:
  - accuracy
  model-index:
  - name: pixel-base-finetuned-xnli-translate-train-all
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: XNLI
        type: xnli
        args: xnli
      metrics:
      - name: Joint validation accuracy
        type: accuracy
        value: 0.6254886211512718
  ---
  
  <!-- 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. -->
  
  # pixel-base-finetuned-xnli-translate-train-all
  
  This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on the XNLI dataset.
  
  ## 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: 256
  - eval_batch_size: 8
  - seed: 555
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - training_steps: 50000
  - mixed_precision_training: Apex, opt level O1
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0
  - Datasets 2.0.0
  - Tokenizers 0.12.1
  