removed benchmarks
Browse files
README.md
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@@ -18,26 +18,6 @@ This repository contains the files used on [intfloat/e5-small-v2](https://huggin
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> - Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
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> - This model has 12 layers and the embedding size is 384.
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## Benchmarks
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### `e5-small-v2-ggml`
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| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
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|-----------|-----------|------------|-----------|------------|
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| f32 | 0.8493 | 67.54 | 0.4742 | 105.42 |
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| f16 | 0.8493 | 65.60 | 0.4743 | 93.55 |
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| q4_0 | 0.8482 | 35.12 | 0.4738 | 100.28 |
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| q4_1 | 0.8445 | 128.93 | 0.4616 | 83.72 |
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### `e5-small-v2`
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| Data Type | STSBenchmark | eval time | EmotionClassification | eval time |
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|-----------|-----------|------------|-----------|------------|
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| f32 | 0.8493 | 58.69 | 0.4742 | 148.92 |
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| f16 | 0.8493 | 58.78 | 0.4743 | 73.68 |
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| q4_0 | 0.8482 | 134.13 | 0.4738 | 167.89 |
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| q4_1 | 0.8445 | 94.88 | 0.4616 | 166.26 |
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> - Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
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> - This model has 12 layers and the embedding size is 384.
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