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SG1.0

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model_card = f"""

Model Card

License

  • License: apache-2.0

Language

  • Language: en

Metrics

  • Metrics: accuracy, bertscore

Library Name

  • Library Name: adapter-transformers, transformers

Model Name

  • Model Name: AutoModel

Model Type

  • Model Type: multimodal-transformer

Configuration

  • Hidden Size: 768
  • Number of Attention Heads: 12
  • Number of Hidden Layers: 12
  • Intermediate Size: 2048
  • Hidden Dropout Probability: 0.1
  • Attention Probabilities Dropout Probability: 0.1
  • Image Size: 224
  • Image Channels: 3
  • Patch Size: 16
  • Max Position Embeddings: 512
  • Vocabulary Size: 30522
  • Type Vocabulary Size: 2
  • Audio Sample Rate: 16000
  • Audio Frame Size: 1024
  • Audio Hop Size: 512
  • Enable VQA: true
  • Enable Caption: true
  • Enable Retrieval: true
  • Enable ASR: true
  • Enable Realtime ASR: true
  • Batch Size: 32
  • Learning Rate: 0.0001
  • Weight Decay: 0.01
  • Warmup Steps: 10000
  • Max Steps: 100000 """

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Model Card for Model ID

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Model Details

Model Description

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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Evaluation

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Results

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

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