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Datasets:
NoeFlandre
/
benchmark-llms-landuse-relevance

Tasks:
Text Classification
Modalities:
Tabular
Text
Geospatial
Formats:
csv
Size:
10K - 100K
Tags:
land-use
land-cover
remote-sensing
llm-benchmark
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
NoeFlandre commited on
Commit
f51126c
·
verified ·
1 Parent(s): 3423168

Publish small-LLM land-use relevance benchmark results (part 10)

Browse files
Files changed (2) hide show
  1. threshold_sweep.csv +19 -0
  2. tr/LiquidAI__LFM2.5-Encoder-350M.json +0 -0
threshold_sweep.csv CHANGED
@@ -56,6 +56,25 @@ LiquidAI/LFM2.5-2.6B@logprob,0.7,85,25500,0.5687,0.5386,0.7104,0.5548,0.9896,0.1
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  LiquidAI/LFM2.5-2.6B@logprob,0.8,85,25500,0.6285,0.6065,0.7307,0.6031,0.9376,0.2867,0.7773
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  LiquidAI/LFM2.5-2.6B@logprob,0.9,85,25500,0.6927,0.6884,0.721,0.7109,0.754,0.3942,0.7773
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  LiquidAI/LFM2.5-2.6B@logprob,1.0,85,25500,0.4667,0.5,0.0,0.0,0.0,0.0,0.7773
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  MoritzLaurer/bge-m3-zeroshot-v2.0,0.0,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
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  MoritzLaurer/bge-m3-zeroshot-v2.0,1e-05,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
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  MoritzLaurer/bge-m3-zeroshot-v2.0,3e-05,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
 
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  LiquidAI/LFM2.5-2.6B@logprob,0.8,85,25500,0.6285,0.6065,0.7307,0.6031,0.9376,0.2867,0.7773
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  LiquidAI/LFM2.5-2.6B@logprob,0.9,85,25500,0.6927,0.6884,0.721,0.7109,0.754,0.3942,0.7773
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  LiquidAI/LFM2.5-2.6B@logprob,1.0,85,25500,0.4667,0.5,0.0,0.0,0.0,0.0,0.7773
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+ LiquidAI/LFM2.5-Encoder-350M,0.0,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,1e-05,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,3e-05,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.0001,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.0003,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.001,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.003,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.01,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.03,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.1,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.2,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.3,15,4500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.4,15,4500,0.5336,0.5002,0.6958,0.5335,1.0,0.0041,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.5,15,4500,0.534,0.5007,0.696,0.5337,1.0,0.01,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.6,15,4500,0.5344,0.5012,0.6961,0.5339,0.9996,0.0168,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.7,15,4500,0.5353,0.5022,0.6964,0.5344,0.9992,0.0294,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.8,15,4500,0.5371,0.5043,0.6967,0.5355,0.9967,0.0453,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,0.9,15,4500,0.5476,0.5171,0.6966,0.5424,0.9746,0.0912,0.5462
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+ LiquidAI/LFM2.5-Encoder-350M,1.0,15,4500,0.4667,0.5,0.0,0.0,0.0,0.0,0.5462
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  MoritzLaurer/bge-m3-zeroshot-v2.0,0.0,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
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  MoritzLaurer/bge-m3-zeroshot-v2.0,1e-05,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
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  MoritzLaurer/bge-m3-zeroshot-v2.0,3e-05,85,25500,0.5333,0.5,0.6957,0.5333,1.0,0.0,0.6651
tr/LiquidAI__LFM2.5-Encoder-350M.json ADDED
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