electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (by google-research)
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools (by huggingface)
electra | datasets | |
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3 | 15 | |
2,296 | 18,443 | |
0.7% | 1.0% | |
0.0 | 9.5 | |
about 1 month ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
electra
Posts with mentions or reviews of electra.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-27.
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Fine-tuned model consistently producing Precision and Recall scores of 0 from start of training, any suggestions on how to improve?
If this is your own implementation of ELECTRA, hopefully you have previous versions you've demonstrated working, you could revert back to a working version, then apply the changes you made one-by-one. If it's open-source code you are using, such as this one, try and find a working example, run it yourself, carefully modify it, preserve it in a working (high performance) state, change it piece-by-piece until it works on your problem.
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Web Demo
github: https://github.com/google-research/electra
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Help with aligned word embeddings
If you have at least a decent gaming gpu or want to bother with colab, you could get a relevant dataset and use electra https://github.com/google-research/electra
datasets
Posts with mentions or reviews of datasets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-19.
- 🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
- Mastering ROUGE Matrix: Your Guide to Large Language Model Evaluation for Summarization with Examples
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How to Train Large Models on Many GPUs?
https://github.com/huggingface/datasets
https://github.com/huggingface/transformers
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[D] Can we use Ray for distributed training on vertex ai ? Can someone provide me examples for the same ? Also which dataframe libraries you guys used for training machine learning models on huge datasets (100 gb+) (because pandas can't handle huge data).
https://huggingface.co/docs/datasets backed with an Arrow file or buffer
- Need help with a data science project
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Is there a text evaluation metric that does not need reference text?
I'm looking for an automatic evaluation metric that can score the first text higher (since it's more grammatically correct/better for other reasons). All the metrics for NLG I found require some reference text to match the generated text with, which I don't have.
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FauxPilot – an open-source GitHub Copilot server
And then pass that my_code.json as the dataset name.
[1] https://github.com/huggingface/datasets
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Hugging Face Introduces ‘Datasets’: A Lightweight Community Library For Natural Language Processing (NLP)
Code for https://arxiv.org/abs/2109.02846 found: https://github.com/huggingface/datasets
Quick Read | Paper | Github
- Datasets: A Community Library for Natural Language Processing