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---
library_name: transformers
tags:
- llama-factory
datasets:
- RayanNan/Sentimentanalysis-endangeredspecies
language:
- en
metrics:
- accuracy
license: mit
---
<!-- Provide a quick summary of what the model is/does. -->
### Model Description
<!-- Provide a longer summary of what this model is. -->
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
<!-- This section is meant to convey both technical and sociotechnical 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
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
the model is trained basing on our own dataset with the link: RayanNan/Sentimentanalysis-endangeredspecies |