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Gustave Cortal, Alain Finkel, Patrick Paroubek, Lina Ye. May 2023. Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation. In Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 72–81, Dubrovnik, Croatia. Association for Computational Linguistics.

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distilcamembert-cae-all

This model is a fine-tuned version of cmarkea/distilcamembert-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6016
  • Precision: 0.8510
  • Recall: 0.8481
  • F1: 0.8471

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
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1
1.18 1.0 40 0.9901 0.6418 0.4557 0.2991
0.8718 2.0 80 0.6938 0.7667 0.7468 0.7196
0.4656 3.0 120 0.6928 0.8364 0.8354 0.8353
0.2418 4.0 160 0.6008 0.8276 0.8228 0.8228
0.1285 5.0 200 0.6016 0.8510 0.8481 0.8471

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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