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Model: Scicom-intl/Malaysian-Turn-Detector-Qwen3-1.7B Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-1.7B
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language:
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- ms
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- en
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- zh
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- ta
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tags:
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- turn-detection
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- call-center
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- code-switching
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- multilingual
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pipeline_tag: text-generation
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---
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# Turn Detector Qwen3-1.7B
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Fine-tuned [Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) for **real-time turn-end detection** in multilingual call center conversations.
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The model predicts `P(<|im_end|>)` — the probability that a speaker has finished their turn. Designed for low-latency voice agent pipelines (e.g. LiveKit) to determine when to respond.
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## How It Works
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Given a conversation so far, the model outputs the probability of `<|im_end|>` as the next token:
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- **P(im_end) > 0.5** → speaker is done talking (turn complete)
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- **P(im_end) < 0.5** → speaker is still talking (turn incomplete)
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## Usage
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```python
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import torch
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import math
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import torch.nn.functional as F
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "Scicom-intl/Malaysian-Turn-Detector-Qwen3-1.7B"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16).cuda().eval()
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IM_END_ID = tokenizer.convert_tokens_to_ids("<|im_end|>")
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def get_turn_end_prob(text):
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if text.endswith("<|im_end|>"):
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text = text[:-len("<|im_end|>")]
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inputs = tokenizer(text, return_tensors="pt").to("cuda")
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with torch.no_grad():
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logits = model(**inputs).logits
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prob = F.softmax(logits[0, -1], dim=-1)[IM_END_ID].item()
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return prob
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````
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## Eval Results
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**Test set:** 1200 samples (600 positive + 600 negative), 50 conversations per language pair.
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### Overall (threshold = 0.5)
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| Metric | Score |
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| --------- | ------ |
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| Accuracy | 96.67% |
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| Precision | 99.82% |
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| Recall | 93.50% |
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| F1 | 96.56% |
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### Per Language
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| Language Pair | Overall | Positive | Negative |
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| --------------- | ------- | -------- | -------- |
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| chinese-english | 95.00% | 90.00% | 100.00% |
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| chinese-malay | 97.00% | 94.00% | 100.00% |
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| chinese-tamil | 97.00% | 94.00% | 100.00% |
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| english-chinese | 97.00% | 96.00% | 98.00% |
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| english-malay | 94.00% | 88.00% | 100.00% |
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| english-tamil | 95.00% | 90.00% | 100.00% |
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| malay-chinese | 97.00% | 94.00% | 100.00% |
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| malay-english | 96.00% | 92.00% | 100.00% |
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| malay-tamil | 97.00% | 94.00% | 100.00% |
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| tamil-chinese | 100.00% | 100.00% | 100.00% |
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| tamil-english | 97.00% | 94.00% | 100.00% |
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| tamil-malay | 98.00% | 96.00% | 100.00% |
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### Threshold Sweep
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| Threshold | Accuracy | Precision | Recall | F1 |
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| --------- | ---------- | ---------- | ---------- | ---------- |
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| 0.1 | 99.00% | 99.66% | 98.33% | 98.99% |
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| 0.2 | 98.67% | 99.66% | 97.67% | 98.65% |
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| 0.3 | 98.00% | 99.66% | 96.33% | 97.97% |
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| 0.4 | 97.58% | 99.65% | 95.50% | 97.53% |
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| **0.5** | **96.67%** | **99.82%** | **93.50%** | **96.56%** |
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| 0.6 | 95.50% | 99.82% | 91.17% | 95.30% |
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| 0.7 | 93.67% | 99.81% | 87.50% | 93.25% |
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| 0.8 | 91.17% | 100.00% | 82.33% | 90.31% |
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| 0.9 | 83.83% | 100.00% | 67.67% | 80.72% |
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### Confusion Matrix (threshold = 0.5)
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| | Pred Pos | Pred Neg |
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| ---------- | -------- | -------- |
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| Actual Pos | 561 | 39 |
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| Actual Neg | 1 | 599 |
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### Probability Distribution
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| Class | Mean | Median | Min | Max |
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| -------------------------- | ------ | ------ | ------ | ------ |
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| Positive (turn complete) | 0.8813 | 0.9673 | 0.0063 | 1.0000 |
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| Negative (turn incomplete) | 0.0020 | 0.0000 | 0.0000 | 0.7022 |
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## Dataset
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Tokenized parquet datasets (chinidataset format) available at [Scicom-intl/turn-detector-Qwen3-0.6B-dataset](https://huggingface.co/datasets/Scicom-intl/turn-detector-Qwen3-0.6B-dataset).
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```
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turn-detector-Qwen3-0.6B-dataset/
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├── train-merged/
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├── train/
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└── test/
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```
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## Training
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* **Base model:** Qwen/Qwen3-1.7B
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* **Training data:** Positive samples only (complete conversations ending with `<|im_end|>`)
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* **Loss:** Liger Fused Linear Cross Entropy
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* **Attention:** Flash Attention 3
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* **Precision:** bfloat16
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* **Block size:** 8192 (multipacked)
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* **Batch size:** 2 x 16 gradient accumulation
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* **Learning rate:** 2e-5 (constant)
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* **Epochs:** 1
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### Training Data Sources
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| Dataset | Source |
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| ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Call Center Language Switching | [https://huggingface.co/datasets/Scicom-intl/Call-Center-Language-Switching](https://huggingface.co/datasets/Scicom-intl/Call-Center-Language-Switching) |
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| Function Call | [https://huggingface.co/datasets/Scicom-intl/Function-Call](https://huggingface.co/datasets/Scicom-intl/Function-Call) |
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| Malaysian Multiturn Chat Assistant | [https://huggingface.co/datasets/mesolitica/Malaysian-Multiturn-Chat-Assistant](https://huggingface.co/datasets/mesolitica/Malaysian-Multiturn-Chat-Assistant) |
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| Malaysian Speech Instructions | [https://huggingface.co/datasets/mesolitica/Malaysian-Speech-Instructions](https://huggingface.co/datasets/mesolitica/Malaysian-Speech-Instructions) |
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```
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
|
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{{- tool_call.name }}
|
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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60
config.json
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config.json
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{
|
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"architectures": [
|
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"Qwen3ForCausalLM"
|
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],
|
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"attention_bias": false,
|
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"attention_dropout": 0.0,
|
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"dtype": "bfloat16",
|
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"eos_token_id": 151645,
|
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"head_dim": 128,
|
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"hidden_act": "silu",
|
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"hidden_size": 2048,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 6144,
|
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"layer_types": [
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
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"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
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"sliding_window": null,
|
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"tie_word_embeddings": true,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
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generation_config.json
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generation_config.json
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{
|
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"do_sample": true,
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"eos_token_id": [
|
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151645,
|
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151643
|
||||
],
|
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"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
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"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.57.6"
|
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}
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151388
merges.txt
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merges.txt
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Load Diff
3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b23dd1eef6ccfe040d1cd60a8342d5929d51be4c5b00d683525c337a5cba6dba
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size 3441185608
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31
special_tokens_map.json
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31
special_tokens_map.json
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||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
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"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user