snack-detection-bloom-1b7

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Model Details

Model Description

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• Developed by: [More Information Needed]
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Uses

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Direct Use

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Out-of-Scope Use

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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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Factors

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Metrics

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Results

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Summary

Compute Infrastructure

Google Colab+, GPU, T4, High-RAM