Quantization made by Richard Erkhov.
Mistralsentiment - AWQ
Original model description:
library_name: transformers
tags:
- llama-factory
datasets:
- RayanNan/Sentimentanalysis-endangeredspecies
language:
- en
metrics:
- accuracy
license: mit
Model Description
This model is trained basing on Mistral, which is used to detect sentiment of social media.
- Author and their Hugging Face Account: Nan Ye(RayanNan), Zhen Ma(Mark01927), Chi Zhang(BillZhang0325), Jiayin Li(Moriacrafter)
- Funded by: WenZhou Kean University
- Model type: LLM
- Language(s): English
- Finetuned from model: e5-mistral-7b-instruct
Bias, Risks, and Limitations
The model we used to finetune the model is only considered about the Positive and Negative sentiment, the netural sentiment is not included
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Training Details
Training Data
the model is trained basing on our own dataset with the link: RayanNan/Sentimentanalysis-endangeredspecies
