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cs329x-model2
Irawadee/cs329x-model2
cs329x-model2 is a machine learning model from Irawadee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
From the base model, this model was trained using personas and values created by me for the cs329x class.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 7cbe7a07
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
From the base model, this model was trained using personas and values created by me for the cs329x class.
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: Ira Thawornbut
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: Llama-3.2-1B-Instruct
Model Sources [optional]
<!-- Provide the basic links for the model. -->- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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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.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
Speeds, Sizes, Times [optional]
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Evaluation
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Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->[More Information Needed]
Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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APA:
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Glossary [optional]
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More Information [optional]
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Model Card Authors [optional]
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Model Card Contact
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Framework versions
- PEFT 0.10.0
- Library
- peft
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024