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dmuturia/
phi2_emotrack_finetuned

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Model Card for EmotiTrack Emotion & Sarcasm Classifier (`phi2_emotrack_finetuned`)

A fine-tuned phi-2 language model for classifying emotional tone and detecting sarcasm in text messages. This model is part of the EmotiTrack project, designed for use in emotional journaling, mental health tech, and empathetic AI assistants.

Model Details

Model Description

Developed by: Dennis Muturia for the EmotiTrack project
Funded by: Self-funded
Shared by: Dennis Muturia
Model type: Causal Language Model
Language(s): English
License: Apache 2.0 (inherits from microsoft/phi-2)
Finetuned from model: microsoft/phi-2 using PEFT (LoRA)

This model is fine-tuned to detect emotions (based on GoEmotions) and sarcasm (modeled after deepset/sarcasm-xlm-roberta-base) in short-form user text.

Model Sources

Repository: https://huggingface.co/dmuturia/phi2_emotrack_finetuned

Uses

Direct Use

Emotion & sarcasm classification for conversational agents
Tagging emotional states in journaling or logging apps
Enriching sentiment understanding in chatbots and voice assistants

Downstream Use

Integrated into the EmotiTrack backend to drive real-time insight
Supports longitudinal tracking of emotional states

Out-of-Scope Use

Not suitable for diagnosis or clinical use
Not designed for multilingual inputs
Not ideal for long or formal documents

Bias, Risks, and Limitations

May reflect bias from emotion/sarcasm datasets scraped from internet text
Limited context window makes deep sarcasm or subtext detection unreliable
Emotion misclassification may occur on neutral or ambiguous expressions

Recommendations

Use in user-facing applications should include disclaimers
Avoid using outputs for automated decision-making in sensitive domains

How to Get Started with the Model

python

from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="dmuturia/phi2_emotrack_finetuned",
    tokenizer="dmuturia/phi2_emotrack_finetuned",
    device=0  # Use -1 for CPU
)

prompt = """### Instruction:
Classify the emotional tone and detect sarcasm in the following message.

### Input:
"I just love it when everything breaks right before a deadline."

### Response:
"""

output = pipe(prompt, max_new_tokens=60)[0]["generated_text"]
print(output)

dmuturia/phi2_emotrack_finetuned

Model Card for EmotiTrack Emotion & Sarcasm Classifier (phi2_emotrack_finetuned)