# Harmony v2 β€” Toxicity Classifier > **Lightweight, context-aware toxicity detection that understands intent, not just keywords.** Harmony v2 is a lightweight toxicity classifier fine-tuned from **gravitee-io/bert-tiny-toxicity** on **HarmonyDataset v2**, a custom dataset of **7,000 human-like chat messages**. Unlike traditional keyword-based filters, Harmony v2 focuses on **who is being targeted, the intent behind the message, and conversational context**. > **Profanity β‰  Toxicity** --- # 🧠 Overview Harmony v2 is designed for modern chat moderation, especially for Telegram communities, forums, games, and social platforms. It distinguishes between: ### 🚨 Toxic - Personal attacks - Harassment - Threats - Humiliation - Dehumanization - Hate directed at another person ### βœ… Safe - Emotional expression - Frustration - Profanity without a target - Friendly banter - Sarcasm - Jokes - Self-directed insults Instead of blocking words, Harmony v2 evaluates **intent**. --- # ✨ Features | Feature | Value | |----------|-------| | Base model | gravitee-io/bert-tiny-toxicity | | Dataset | HarmonyDataset v2 | | Samples | 7,000 | | Languages | Ukrainian, Russian, mixed UA/RU | | Max sequence length | 512 tokens | | Framework | Hugging Face Transformers | | Model format | PyTorch | | Quantized size | ~9 MB (INT8) | | License | Apache-2.0 | --- # ⚑ Performance | Metric | Result | |---------|--------| | Evaluation Loss | **0.4255** | | F1 Score | **98.4%** | | CPU Inference | **~11 ms** | | Precision | High | | Recall | High | --- # πŸ“Š Dataset HarmonyDataset v2 contains **7,000 balanced synthetic chat messages**. | Category | Share | |----------|------:| | Safe | 15% | | Friendly profanity | 10% | | Frustration | 10% | | Self-insult | 5% | | Joke | 10% | | Sarcasm | 10% | | Criticism | 5% | | Insult | 10% | | Harassment | 15% | | Threat | 10% | Dataset philosophy: - realistic conversations - Telegram-like writing - slang - spelling mistakes - emojis - mixed Ukrainian/Russian - contextual toxicity --- # πŸš€ Installation Clone the repository: ```bash git clone https://github.com/floxoris/harmony-v2 cd harmony-v2 ``` Install dependencies: ```bash pip install -r requirements.txt ``` --- # πŸ“¦ Load the Model ```python from transformers import ( AutoTokenizer, AutoModelForSequenceClassification ) model_path = "./Harmony-v2" tokenizer = AutoTokenizer.from_pretrained(model_path) model = AutoModelForSequenceClassification.from_pretrained(model_path) ``` --- # πŸ” Prediction Example ```python import torch def predict(text): inputs = tokenizer( text, return_tensors="pt", truncation=True, max_length=512 ) with torch.no_grad(): outputs = model(**inputs) probs = torch.softmax(outputs.logits, dim=1) toxic_score = probs[0][1].item() return toxic_score text = "Π±Π»Ρ–Π½ сСрвСр Π²ΠΏΠ°Π², Ρ‚Ρ€Π΅Ρ‚Ρ–ΠΉ Ρ€Π°Π· ΡΡŒΠΎΠ³ΠΎΠ΄Π½Ρ–" score = predict(text) label = "🚨 Toxic" if score > 0.5 else "βœ… Safe" print(f""" Text: {text} Score: {score:.3f} Prediction: {label} """) ``` Example output: ```text Text: Π±Π»Ρ–Π½ сСрвСр Π²ΠΏΠ°Π², Ρ‚Ρ€Π΅Ρ‚Ρ–ΠΉ Ρ€Π°Π· ΡΡŒΠΎΠ³ΠΎΠ΄Π½Ρ– Score: 0.021 Prediction: βœ… Safe ``` --- # πŸ— Training Train locally: ```bash python train.py ``` Or inside Google Colab: ```python !python train.py ``` --- # πŸ“ Repository Structure ``` Harmony-v2/ β”‚ β”œβ”€β”€ config.json β”œβ”€β”€ tokenizer.json β”œβ”€β”€ tokenizer_config.json β”œβ”€β”€ special_tokens_map.json β”œβ”€β”€ model.safetensors β”œβ”€β”€ train.py β”œβ”€β”€ requirements.txt └── README.md ``` --- # πŸ’‘ Intended Use Harmony v2 is suitable for: - Telegram bots - Discord moderation - Forum moderation - Live chat filtering - AI assistants - Comment moderation - Social platforms - Community management --- # ❌ Not Intended For Harmony v2 should **not** be used as the sole decision-maker for: - legal decisions - law enforcement - employment screening - medical applications Human review is recommended for critical moderation. --- # πŸ“š References **Base model** - gravitee-io/bert-tiny-toxicity **Frameworks** - Hugging Face Transformers - Hugging Face Datasets - PyTorch --- # πŸ“„ License Licensed under the **Apache License 2.0**. You are free to: - βœ… use commercially - βœ… modify - βœ… redistribute - βœ… include in proprietary software Subject to the Apache-2.0 license terms. --- # 🀝 Contributing Pull requests, bug reports, and suggestions are welcome. If you find a false positive or false negative, please open an issue. --- # 🌸 Floxoris Labs **Harmony v2** is developed by **Floxoris Labs**. > *Lightweight AI. Maximum Intelligence.*