Model Card for Model ID

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This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

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• Developed by: [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]: [More Information Needed]

Model Sources [optional]

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• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

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Direct Use

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[More Information Needed]

Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

[More Information Needed]

Out-of-Scope Use

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[More Information Needed]

Bias, Risks, and Limitations

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[More Information Needed]

Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

[More Information Needed]

Training Details

Training Data

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American Snacks

Training Procedure

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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 -->

• per_device_train_batch_size=6,

• gradient_accumulation_steps=4,

• warmup_steps=100,

• max_steps=100,

• learning_rate=1e-3,

• fp16=True,

Evaluation

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Testing Data, Factors & Metrics

Testing Data

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[More Information Needed]

Factors

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[More Information Needed]

Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

[More Information Needed]

Results

[More Information Needed]

Summary

Compute Infrastructure

Google Colab+, GPU, T4, High-RAM