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twitter_emotions

This model is a fine-tuned version of sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on the emotion dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1647
  • Accuracy: 0.9375

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: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2486 1.0 2000 0.2115 0.931
0.135 2.0 4000 0.1725 0.936
0.1041 3.0 6000 0.1647 0.9375

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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Dataset used to train trnt/twitter_emotions

Space using trnt/twitter_emotions

Evaluation results