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--- |
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base_model: microsoft/deberta-v3-xsmall |
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language: |
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- en |
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tags: |
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- text-classification |
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- zero-shot-classification |
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pipeline_tag: zero-shot-classification |
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library_name: transformers |
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license: mit |
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--- |
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# deberta-v3-xsmall-zeroshot-v1.1-all-33 |
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This model was fine-tuned using the same pipeline as described in |
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the model card for [MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33) |
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and in this [paper](https://arxiv.org/pdf/2312.17543.pdf). |
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The foundation model is [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall). |
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The model only has 22 million backbone parameters and 128 million vocabulary parameters. |
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The backbone parameters are the main parameters active during inference, providing a significant speedup over larger models. |
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The model is 142 MB small. |
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This model was trained to provide a small and highly efficient zeroshot option, |
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especially for edge devices or in-browser use-cases with transformers.js. |
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## Usage and other details |
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For usage instructions and other details refer to |
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this model card [MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33) |
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and this [paper](https://arxiv.org/pdf/2312.17543.pdf). |
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## Metrics: |
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I didn't not do zeroshot evaluation for this model to save time and compute. |
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The table below shows standard accuracy for all datasets the model was trained on (note that the NLI datasets are binary). |
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General takeaway: the model is much more efficient than its larger sisters, but it performs less well. |
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|Datasets|mnli_m|mnli_mm|fevernli|anli_r1|anli_r2|anli_r3|wanli|lingnli|wellformedquery|rottentomatoes|amazonpolarity|imdb|yelpreviews|hatexplain|massive|banking77|emotiondair|emocontext|empathetic|agnews|yahootopics|biasframes_sex|biasframes_offensive|biasframes_intent|financialphrasebank|appreviews|hateoffensive|trueteacher|spam|wikitoxic_toxicaggregated|wikitoxic_obscene|wikitoxic_identityhate|wikitoxic_threat|wikitoxic_insult|manifesto|capsotu| |
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |
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|Accuracy|0.925|0.923|0.886|0.732|0.633|0.661|0.814|0.887|0.722|0.872|0.944|0.925|0.967|0.774|0.734|0.627|0.762|0.745|0.465|0.888|0.702|0.94|0.853|0.863|0.914|0.926|0.921|0.635|0.968|0.897|0.918|0.915|0.935|0.9|0.505|0.701| |
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|Inference text/sec (A10G, batch=128)|1573.0|1630.0|683.0|1282.0|1352.0|1072.0|2325.0|2008.0|4781.0|2743.0|677.0|228.0|238.0|2357.0|5027.0|4323.0|3247.0|3129.0|941.0|1643.0|335.0|1517.0|1452.0|1498.0|2367.0|974.0|2634.0|353.0|2284.0|260.0|252.0|256.0|254.0|259.0|1941.0|2080.0| |
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