dailydialog_roberta_with_context_full

Model Card for Model ID

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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

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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

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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

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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.

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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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

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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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Citation [optional]

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Glossary [optional]

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