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Team-PIXEL
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pixel-base-finetuned-mnli

Text Classification
Transformers
PyTorch
English
pixel
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pixel-base-finetuned-mnli

This model is a fine-tuned version of Team-PIXEL/pixel-base on the GLUE MNLI 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: 3e-05
  • train_batch_size: 64
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 15000
  • mixed_precision_training: Apex, opt level O1

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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Dataset used to train Team-PIXEL/pixel-base-finetuned-mnli

Evaluation results

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