初始化项目，由ModelHub XC社区提供模型
Model: Hesam760/persian-water-regulations-qwen2.5-1.5b Source: Original Platform
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126
README.md
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README.md
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---
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language:
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- fa
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license: apache-2.0
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- persian
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- qwen
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- qlora
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- legal-nlp
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- regulatory-qa
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- water-regulations
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- instruction-tuning
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---
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# Persian Water Regulations Qwen2.5-1.5B
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A Persian domain-adapted language model for answering questions about the
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"Operational By-law and General Conditions of Water and Wastewater Tariffs".
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## Base model
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`Qwen/Qwen2.5-1.5B-Instruct`
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## Training data
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- Records: 274
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- Training records: 246
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- Validation records: 28
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- Format: conversational prompt-completion JSONL
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- Split: group-aware by source section to reduce source leakage
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## Training method
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- Method: QLoRA / supervised fine-tuning
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- Quantization: 4-bit NF4 with double quantization
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- LoRA rank: 16
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- LoRA alpha: 32
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- LoRA dropout: 0.05
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- Target modules: `all-linear`
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- Learning rate: 1e-04
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- Requested epochs: 10
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- Maximum sequence length: 512
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- GPU: Tesla T4
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## Validation generation metrics
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### Base model
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- Exact match: 0.0000
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- Token F1: 0.2044
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- ROUGE-L F1: 0.1670
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### Fine-tuned model
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- Exact match: 0.0000
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- Token F1: 0.3623
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- ROUGE-L F1: 0.3196
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The automatic metrics measure textual similarity and do not establish legal
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correctness. Manual review is required for authoritative use.
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## Usage
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "Hesam760/persian-water-regulations-qwen2.5-1.5b"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="auto",
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dtype=torch.float16,
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)
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messages = [
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{
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"role": "system",
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"content": (
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"شما دستیار تخصصی آییننامه عملیاتی و شرایط عمومی تعرفههای "
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"آب و فاضلاب هستید. فقط بر اساس مفاد آییننامه پاسخ دهید."
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),
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},
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{
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"role": "user",
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"content": "هدف آییننامه چیست؟",
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},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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return_dict=True,
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return_tensors="pt",
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).to(model.device)
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output_ids = model.generate(
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**inputs,
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max_new_tokens=160,
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do_sample=False,
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)
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new_tokens = output_ids[0, inputs["input_ids"].shape[-1]:]
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print(tokenizer.decode(new_tokens, skip_special_tokens=True))
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```
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## Intended use
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- Demonstration of Persian domain adaptation
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- Regulatory question answering
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- Educational and research use
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## Limitations
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- The model is trained on a small, single-document dataset.
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- It can reproduce outdated, incomplete, or incorrectly extracted provisions.
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- It may hallucinate provisions or section numbers.
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- It is not a legal authority and must not be used as a substitute for the
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official regulation or professional advice.
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- Verify the redistribution rights of the source-derived training dataset
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before publishing the dataset itself.
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54
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'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# 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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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) 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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{{- message.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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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"layer_types": [
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"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",
|
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"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",
|
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"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",
|
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"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",
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"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",
|
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
|
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"sliding_window": null,
|
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"tie_word_embeddings": true,
|
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"transformers_version": "5.14.1",
|
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"use_cache": true,
|
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"use_sliding_window": false,
|
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"vocab_size": 151936
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}
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14
generation_config.json
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generation_config.json
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151643
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
|
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"temperature": 0.7,
|
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"top_k": 20,
|
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"top_p": 0.8,
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"transformers_version": "5.14.1"
|
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}
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3
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Normal file
3
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30
tokenizer_config.json
Normal file
30
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Normal file
@@ -0,0 +1,30 @@
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}
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Reference in New Issue
Block a user