Heterocliter/dailydialog_roberta_with_context_full

Model Card for Model ID

A RoBERTa model retrained specifically for use with a given dataset. Specifically for an MSc Artificial Intelligence module.

Model Details

Dialogue Act Classification. Topic Classification.

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: [Isaac Fayle-Waters]
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Model Sources [optional]

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Uses

Very specifically for use with the DailyDialog dataset.

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

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

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Training Hyperparameters

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Evaluation

Testing Data, Factors & Metrics

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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).

• Hardware Type: NVIDIA A100 PCIe (40GB / 80GB), 250W TDP
• Hours used: 12 hours
• Cloud Provider: Google Cloud Platform
• Compute Region: europe-west2
• Carbon Emitted: 1860 gCO₂eq (1.86 kgCO₂eq), fully offset by the cloud provider

Additional Notes: The carbon intensity for the europe-west2 region was estimated at 0.62 kgCO₂eq/kWh.

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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