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README.md
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- nomic-ai/nomic-bert-2048
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# Release - bert-beatrix-2048 v1
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Entirely saturated pretrained masking window, fixated on expanding the masking potential using subject and shunt allocation tokenization systems.
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- nomic-ai/nomic-bert-2048
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---
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SEMANTIC TOKEN STATISTICS:
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Average similarity between tokens: 0.232
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Std dev of similarities: 0.043
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Max similarity: 0.368
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Min similarity: 0.082
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Most similar token pairs:
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<intent> ↔ <style>: 0.368
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<hair_style> ↔ <hair_length>: 0.336
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<grid> ↔ <fabric>: 0.316
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<footwear> ↔ <jewelry>: 0.315
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<grid> ↔ <offset>: 0.315
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SHUNT TOKEN STATISTICS:
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Average distance between shunts: 1.146
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Std dev of distances: 0.040
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Min distance: 1.056
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Max distance: 1.262
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CATEGORY ANALYSIS:
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Subject/Object:
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Tokens: 5
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Avg within-category similarity: 0.234
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Appearance:
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Tokens: 4
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Avg within-category similarity: 0.260
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Clothing:
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Tokens: 5
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Avg within-category similarity: 0.280
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Material/Texture:
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Tokens: 5
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Avg within-category similarity: 0.251
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Spatial/Style:
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Tokens: 7
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Avg within-category similarity: 0.270
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DIMENSIONALITY ANALYSIS:
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Variance explained by first 10 PCs: 37.6%
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Components needed for 90% variance: 1
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============================================================
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# Release - bert-beatrix-2048 v1
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Entirely saturated pretrained masking window, fixated on expanding the masking potential using subject and shunt allocation tokenization systems.
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