初始化项目，由ModelHub XC社区提供模型
Model: NEU-HAI/mental-alpaca Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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tags:
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- mental
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- mental health
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- large language model
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- alpaca
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---
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# Model Card for mental-alpaca
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<!-- Provide a quick summary of what the model is/does. -->
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This is a fine-tuned large language model for mental health prediction via online text data.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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We fine-tune an Alpaca model with 4 high-quality text (6 tasks in total) datasets for the mental health prediction scenario: Dreaddit, DepSeverity, SDCNL, and CCRS-Suicide.
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We have a separate model, fine-tuned on FLAN-T5-XXL, namely Mental-FLAN-T5, shared [here](https://huggingface.co/NEU-HAI/mental-flan-t5-xxl)
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- **Developed by:** Northeastern University Human-Centered AI Lab
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- **Model type:** Sequence-to-sequence Text-generation
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- **Language(s) (NLP):** English
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- **License:** cc-by-nc-4.0
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- **Finetuned from model:** https://github.com/tatsu-lab/stanford_alpaca
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/neuhai/Mental-LLM
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- **Paper:** https://arxiv.org/abs/2307.14385
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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The model is intended to be used for research purposes only in English.
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The model has been fine-tuned for mental health prediction via online text data. Detailed information about the fine-tuning process and prompts can be found in our [paper](https://arxiv.org/abs/2307.14385).
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The use of this model should also comply with the restrictions from [stanford_alpaca project](https://github.com/tatsu-lab/stanford_alpaca) and [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b).
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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The out-of-scope use of this model should comply with [stanford_alpaca project](https://github.com/tatsu-lab/stanford_alpaca) and [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b).
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## Bias, Risks, and Limitations
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The Bias, Risks, and Limitations of this model should also comply with [stanford_alpaca project](https://github.com/tatsu-lab/stanford_alpaca) and [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b).
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("NEU-HAI/Llama-2-7b-alpaca-cleaned")
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model = AutoModelForCausalLM.from_pretrained("NEU-HAI/Llama-2-7b-alpaca-cleaned")
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```
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## Training Details and Evaluation
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Detailed information about our work can be found in our [paper](https://arxiv.org/abs/2307.14385).
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## Citation
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```
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@article{xu2023leveraging,
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title={Mental-LLM: Leveraging large language models for mental health prediction via online text data},
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author={Xu, Xuhai and Yao, Bingshen and Dong, Yuanzhe and Gabriel, Saadia and Yu, Hong and Ghassemi, Marzyeh and Hendler, James and Dey, Anind K and Wang, Dakuo},
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journal={arXiv preprint arXiv:2307.14385},
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year={2023}
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}
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```
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24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
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|
||||
"pad_token": "[PAD]",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
34
tokenizer_config.json
Normal file
34
tokenizer_config.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 2048,
|
||||
"pad_token": null,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user