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  1. README.md +9 -5
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. tokenizer.json +16 -2
README.md CHANGED
@@ -1,18 +1,22 @@
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  ---
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  language: en
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  tags: [text-classification, emotion-detection, mental-health, hci, distilbert, cnn]
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- datasets: [go_emotions]
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  metrics: [f1, accuracy]
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  ---
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  # MoodShift β€” Hybrid DistilBERT + CNN Emotion Classifier
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  Novel hybrid architecture for HCI research (ICCA 2026).
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  ## Architecture
 
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  - **DistilBERT** β†’ [CLS] global context (768-dim)
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- - **CNN (kernels 2,3,4)** β†’ local n-gram emotion patterns (384-dim)
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- - **Fusion** β†’ 1152-dim β†’ Linear(512) β†’ Linear(7)
 
 
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  ## Labels
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- positive | sadness | anger | anxiety | confusion | curiosity | neutral
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- Best Val F1: **0.9142**
 
 
 
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  ---
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  language: en
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  tags: [text-classification, emotion-detection, mental-health, hci, distilbert, cnn]
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+ datasets: [dair-ai/emotion]
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  metrics: [f1, accuracy]
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  ---
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  # MoodShift β€” Hybrid DistilBERT + CNN Emotion Classifier
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  Novel hybrid architecture for HCI research (ICCA 2026).
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  ## Architecture
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+
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  - **DistilBERT** β†’ [CLS] global context (768-dim)
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+
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+ - **CNN (kernels 2,3,4)** β†’ local n-gram patterns (384-dim)
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+
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+ - **Fusion** β†’ 1152-dim β†’ Linear(512) β†’ Linear(6)
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  ## Labels
 
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+ sadness | joy | love | anger | fear | surprise
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+
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+ Best Val F1: **0.9239**
config.json CHANGED
@@ -26,5 +26,5 @@
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  ],
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  "max_len": 128,
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  "bert_base": "distilbert-base-uncased",
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- "best_val_f1": 0.9142
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  }
 
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  ],
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  "max_len": 128,
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  "bert_base": "distilbert-base-uncased",
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+ "best_val_f1": 0.9239
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  }
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  size 284087647
 
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  size 284087647
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