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Model: pai/Qwen2-7B-Instruct-Response-Exp Source: Original Platform
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README.md
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README.md
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## 📖 Introduction
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**Qwen2-7B-Instruct-Response-Exp** is a powerful large language model that can automatically expand datasets and annotations like self-instruct.
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We fine-tuned **Qwen2-7B-Instruct** to obtain **Qwen2-7B-Instruct-Response-Exp**.
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We sampled the dataset from OpenHermes and the LCCD dataset, ensuring a balanced task distribution. For training set annotations, we used Qwen-max with incorporated our handwritten examples as in-context prompts.
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#### Example Input
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>\#\#\# Instruction
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>
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>Here are some concepts: car, driving, travel Can you make a sentence with these concepts?
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>
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>\#\#\# Response
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>
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>Of course you can! Here is a sentence: "We drove the car and started an unforgettable journey.
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>
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>\#\#\# Instruction
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>
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>Why does the sun rise in the east every day?
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>
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>\#\#\# Response
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>
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>
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>The sun rises in the east every day because of the direction of the earth's rotation and geographical features. The earth rotates from west to east, so an observer on the surface of the earth will see the sun rise from the eastern horizon, pass through the sky, and finally set on the western horizon. Specifically, the earth's rotation axis refers to an imaginary axis that passes through the north and south poles of the earth, and the earth rotates from west to east around this axis. Because of this rotation, any place on the earth will experience day and night. When a place rotates to the side facing the sun, it will usher in daytime; when it rotates to the side facing away from the sun, it will usher in night. Since the direction of the earth's rotation is from west to east, the sun appears to rise from the east and set in the west. This phenomenon is a direct result of the earth's rotation, not the movement of the sun itself.
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>
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>\#\#\# Instruction
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>
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#### Example Output
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>\#\#\# Instruction
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>
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>Here are some concepts: books, learning, knowledge Can you make a sentence with these concepts?
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>
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>\#\#\# Response
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>
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>Of course you can! Here is a sentence that contains these concepts: By reading books, we can continue to learn and enrich our knowledge.
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## 🚀 Quick Start
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Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda" # the device to load the model onto
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model = AutoModelForCausalLM.from_pretrained(
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"alibaba-pai/Qwen2-7B-Instruct-Response-Exp",
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("alibaba-pai/Qwen2-7B-Instruct-Response-Exp")
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prompt = "Give me a short introduction to large language model."
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messages = [
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(device)
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generated_ids = model.generate(
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model_inputs.input_ids,
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max_new_tokens=2048，
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eos_token_id=151645，
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)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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```
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## 🔍 Evaluation
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| | Diversity | Length | Complexity | Factuality |
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|-----------------|-----------|--------|------------|------------|
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| Self-Instruct | 9.6 | 15.8 | 0.32 | 5.0 |
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| Qwen2-7B-Instruct-Response-Exp | 17.2 | 26.3 | 4.97 | 4.9 |
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## 📜 Citation
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If you find our work helpful, please cite it!
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```
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@misc{data-augmentation-family,
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title={Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud},
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author={Yuanhao Yue and Chengyu Wang and Jun Huang and Peng Wang},
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year={2024},
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eprint={2412.04871},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2412.04871},
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}
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```
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config.json
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config.json
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{
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"_name_or_path": "/mnt/workspace/yueyuanhao/202405/models/Qwen2-7B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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}
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|
||||
}
|
||||
}
|
||||
20
special_tokens_map.json
Normal file
20
special_tokens_map.json
Normal file
@@ -0,0 +1,20 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"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
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a12e3ba5d5e0ad173cf7b408ab8534c6be8cbc6a146714e9c7dc8cf2346603b1
|
||||
size 7028043
|
||||
44
tokenizer_config.json
Normal file
44
tokenizer_config.json
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"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