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Model Details

Model Description

  • 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]

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

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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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.

[More Information Needed]

Training Details

Training Data

American Snacks

Training Procedure

Training Hyperparameters

  • Training regime: [More Information Needed]

  • per_device_train_batch_size=6,

  • gradient_accumulation_steps=4,

  • warmup_steps=100,

  • max_steps=100,

  • learning_rate=1e-3,

  • fp16=True,

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

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Metrics

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Results

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Summary

Compute Infrastructure

Google Colab+, GPU, T4, High-RAM

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Inference API
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Dataset used to train nehatarey/snack-detection-bloom-1b7