Model Card for Model ID
{'eval_loss': 1.584479808807373, 'eval_rouge1': 42.85, 'eval_rouge2': 20.25, 'eval_rougeL': 30.46, 'eval_rougeLsum': 30.47,
'eval_runtime': 2012.3082, 'eval_samples_per_second': 1.491, 'eval_steps_per_second': 0.373, 'epoch': 3.0}
Model Details
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: vlassner01
- Model type: T5-Base
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model T5-base:
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
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
Used CNN/Daily Mail dataset with 7000 samples to fine tune the model.
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Training Procedure
Preprocessing [optional]
Used pre-existing T5Tokenizer to process data.
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
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
Model Examination [optional]
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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: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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