electra-small-finetuned-sst2-rotten_tomatoes-distilled

This model is a finetuned version of google/electra-small-discriminator on sst2 and rotten tomatoes dataset. It achieves the following result during training:

• Training Loss: 0.070100
• Validation Loss: 0.268334
• Accuracy: 0.935986

This is a distilled version of electra base. Big thanks to philschmid for his tutorial.

Model Details

Model Description

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• Language(s) (NLP): [More Information Needed]
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• Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

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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 Procedure

Preprocessing [optional]

Important Note: The text data were pre-processed before being fed to the model. The pre-processing steps will be shared later.

Training Hyperparameters

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The following hyperparameters were used during training:

• learning_rate: 0.0003135413256598537
• train_batch_size: 256
• eval_batch_size: 256
• warmup_ratio: 0.1
• weight_decay: 0.0005018269723538957
• seed: 39
• num_epochs: 8

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

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