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Model for multilabel emotions classification. Trained on synthetic psychological dataset (Created by Claude Sonnet 4.6). Fine-tuned ai-forever/ruBert-base
Model Description
10 classes: "neutral","joy","sadness","anger","enthusiasm","surprise","disgust","fear","guilt","shame"
Training Data
https://huggingface.co/datasets/VBadazhkov/therapy_emotions_ru
Training Hyperparameters
num_train_epochs=15
per_device_train_batch_size=16
label_smoothing_factor=0.1
learning_rate=2e-5
weight_decay=0.01
warmup_ratio=0.1
test_size=0.15
Evaluation
Per-label F1:
surprise 0.723
guilt 0.745
enthusiasm 0.750
sadness 0.761
fear 0.827
joy 0.846
anger 0.880
neutral 0.889
shame 0.898
disgust 0.909
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Model tree for VBadazhkov/psycho-emotion-detector_v2
Base model
ai-forever/ruBert-base