README.md

metadata

license: apache-2.0
language:
  - en
metrics:
  - f1

switch-base-8-finetuned

This model is a fine-tuned version of google/switch-base-8 on the SemEval-2018-Task-2 emojis english dataset. It achieves the following results on the evaluation set:

• Accuracy: 48.040 %
• Mac-F1: 33.239 %

Model description

More information needed

• Model type: Language model
• Language(s) (NLP): English
• License: Apache 2.0
• Related Models: All Switch Transformers Checkpoints
• Original Checkpoints: All Original Switch Transformers Checkpoints
• Resources for more information:
  • Research paper
  • GitHub Repo
  • Hugging Face Switch Transformers Docs (Similar to T5)

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-4
• train_batch_size: 464
• eval_batch_size: 512
• seed: 42
• num_epochs: 30

Testing results

SemEval Testing Data	accuracy	Mac-F1
"Tubingen-Oslo" First SemEval Team	47.09%	35.99%
switch-base-8-finetuned-SemEval-2018-emojis-cen-1	48.040%	33.239%
switch-base-8-finetuned-SemEval-2018-emojis-cen-2	50.174%	36.660%
switch-base-8-finetuned-SemEval-2018-emojis-IID-Fed	50.750%	37.355%

Google colab to test the models on SemEval test dataset : The Notebook

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Tokenizers 0.13.2