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glamprou
/
switch-base-8-mnli

Zero-Shot Classification
Transformers
Safetensors
English
switch_transformers
text-classification
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custom_code
Eval Results (legacy)
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glue

This model is a fine-tuned version of google/switch-base-8 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3472
  • Accuracy: 0.8757

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: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.1.1
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Base model

google/switch-base-8
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Dataset used to train glamprou/switch-base-8-mnli

Evaluation results