Datasets:

AnonymousAuthorEE33
/

ParaGen-Bench

 pretty_name: ParaGen-Bench
 size_categories:
   - 1K<n<10K
+configs:
+  - config_name: image_classification
+    default: true
+    data_files:
+      - split: train
+        path: viewer/image_classification.csv
+  - config_name: text_classification
+    data_files:
+      - split: train
+        path: viewer/text_classification.csv
 ---
 # ParaGen-Bench

viewer/image_classification.csv ADDED Viewed

	@@ -0,0 +1,50 @@

+cell,architecture,dataset,model_id,parameters,checkpoints,metric,pool_mean,pool_std,pool_min,pool_max,pool_path,prompt_file
+convnextpico__cifar10,convnextpico,cifar10,convnextpi_019,8537802,200,accuracy (%),92.34,0.75,89.99,94.02,ckpt/image_classification/convnextpico__cifar10/convnextpi_019,prompt/image_classification/convnextpico__cifar10.json
+convnextpico__fashionmnist,convnextpico,fashionmnist,convnextpi_029,8537802,200,accuracy (%),92.76,0.57,91.02,93.85,ckpt/image_classification/convnextpico__fashionmnist/convnextpi_029,prompt/image_classification/convnextpico__fashionmnist.json
+convnextpico__mnist,convnextpico,mnist,convnextpi_001,8537802,200,accuracy (%),98.86,0.31,97.4,99.38,ckpt/image_classification/convnextpico__mnist/convnextpi_001,prompt/image_classification/convnextpico__mnist.json
+convnextpico__svhn,convnextpico,svhn,convnextpi_030,8537802,200,accuracy (%),94.88,0.55,93.25,96.05,ckpt/image_classification/convnextpico__svhn/convnextpi_030,prompt/image_classification/convnextpico__svhn.json
+convnextpico__tinyimagenet,convnextpico,tinyimagenet,convnextpi_143,8635272,200,accuracy (%),80.65,0.09,80.49,80.89,ckpt/image_classification/convnextpico__tinyimagenet/convnextpi_143,prompt/image_classification/convnextpico__tinyimagenet.json
+convnexttiny__cifar10,convnexttiny,cifar10,convnextti_110,27827818,200,accuracy (%),93.39,0.07,93.13,93.5,ckpt/image_classification/convnexttiny__cifar10/convnextti_110,prompt/image_classification/convnexttiny__cifar10.json
+convnexttiny__fashionmnist,convnexttiny,fashionmnist,convnextti_020,27827818,200,accuracy (%),93.57,0.1,93.31,93.79,ckpt/image_classification/convnexttiny__fashionmnist/convnextti_020,prompt/image_classification/convnexttiny__fashionmnist.json
+convnexttiny__mnist,convnexttiny,mnist,convnextti_002,27827818,200,accuracy (%),97.55,0.03,97.5,97.6,ckpt/image_classification/convnexttiny__mnist/convnextti_002,prompt/image_classification/convnexttiny__mnist.json
+convnexttiny__svhn,convnexttiny,svhn,convnextti_031,27827818,200,accuracy (%),97.24,0.1,97.01,97.42,ckpt/image_classification/convnexttiny__svhn/convnextti_031,prompt/image_classification/convnexttiny__svhn.json
+convnexttiny__tinyimagenet,convnexttiny,tinyimagenet,convnextti_049,27973928,200,accuracy (%),49.48,0.57,47.51,50.82,ckpt/image_classification/convnexttiny__tinyimagenet/convnextti_049,prompt/image_classification/convnexttiny__tinyimagenet.json
+image_cnn__cifar10,image_cnn,cifar10,imagecnn_009,153962,200,accuracy (%),69.3,0.54,67.07,70.43,ckpt/image_classification/image_cnn__cifar10/imagecnn_009,prompt/image_classification/image_cnn__cifar10.json
+image_cnn__fashionmnist,image_cnn,fashionmnist,imagecnn_019,153962,200,accuracy (%),90.25,0.4,87.95,90.96,ckpt/image_classification/image_cnn__fashionmnist/imagecnn_019,prompt/image_classification/image_cnn__fashionmnist.json
+image_cnn__mnist,image_cnn,mnist,imagecnn_037,153962,200,accuracy (%),98.79,0.19,97.89,99.12,ckpt/image_classification/image_cnn__mnist/imagecnn_037,prompt/image_classification/image_cnn__mnist.json
+image_cnn__svhn,image_cnn,svhn,imagecnn_026,153962,200,accuracy (%),88.07,0.39,86.58,88.89,ckpt/image_classification/image_cnn__svhn/imagecnn_026,prompt/image_classification/image_cnn__svhn.json
+image_cnn__tinyimagenet,image_cnn,tinyimagenet,imagecnn_049,178472,200,accuracy (%),19.44,0.32,18.55,20.18,ckpt/image_classification/image_cnn__tinyimagenet/imagecnn_049,prompt/image_classification/image_cnn__tinyimagenet.json
+image_mlp__cifar10,image_mlp,cifar10,imagemlp_016,199082,200,accuracy (%),49.4,0.5,47.91,50.59,ckpt/image_classification/image_mlp__cifar10/imagemlp_016,prompt/image_classification/image_mlp__cifar10.json
+image_mlp__fashionmnist,image_mlp,fashionmnist,imagemlp_029,118282,200,accuracy (%),87.96,0.4,86.27,88.76,ckpt/image_classification/image_mlp__fashionmnist/imagemlp_029,prompt/image_classification/image_mlp__fashionmnist.json
+image_mlp__mnist,image_mlp,mnist,imagemlp_006,118282,200,accuracy (%),97.39,0.27,96.51,97.97,ckpt/image_classification/image_mlp__mnist/imagemlp_006,prompt/image_classification/image_mlp__mnist.json
+image_mlp__svhn,image_mlp,svhn,imagemlp_039,199082,200,accuracy (%),79.04,0.83,75.81,80.62,ckpt/image_classification/image_mlp__svhn/imagemlp_039,prompt/image_classification/image_mlp__svhn.json
+image_mlp__tinyimagenet,image_mlp,tinyimagenet,imagemlp_049,205352,200,accuracy (%),8.86,0.22,8.12,9.35,ckpt/image_classification/image_mlp__tinyimagenet/imagemlp_049,prompt/image_classification/image_mlp__tinyimagenet.json
+mobilenetlarge__cifar10,mobilenetlarge,cifar10,mobilenetl_018,4214842,200,accuracy (%),90.26,0.83,86.54,92.27,ckpt/image_classification/mobilenetlarge__cifar10/mobilenetl_018,prompt/image_classification/mobilenetlarge__cifar10.json
+mobilenetlarge__fashionmnist,mobilenetlarge,fashionmnist,mobilenetl_020,4214842,200,accuracy (%),90.8,1.2,85.3,92.69,ckpt/image_classification/mobilenetlarge__fashionmnist/mobilenetl_020,prompt/image_classification/mobilenetlarge__fashionmnist.json
+mobilenetlarge__mnist,mobilenetlarge,mnist,mobilenetl_106,4214842,200,accuracy (%),99.58,0.08,99.07,99.65,ckpt/image_classification/mobilenetlarge__mnist/mobilenetl_106,prompt/image_classification/mobilenetlarge__mnist.json
+mobilenetlarge__svhn,mobilenetlarge,svhn,mobilenetl_038,4214842,200,accuracy (%),92.99,0.78,89.92,94.46,ckpt/image_classification/mobilenetlarge__svhn/mobilenetl_038,prompt/image_classification/mobilenetlarge__svhn.json
+mobilenetlarge__tinyimagenet,mobilenetlarge,tinyimagenet,mobilenetl_146,4458232,200,accuracy (%),77.67,0.09,77.47,77.91,ckpt/image_classification/mobilenetlarge__tinyimagenet/mobilenetl_146,prompt/image_classification/mobilenetlarge__tinyimagenet.json
+mobilenetv4hl__fashionmnist,mobilenetv4hl,fashionmnist,mobilenetv_041,36496434,200,accuracy (%),93.12,0.1,92.85,93.35,ckpt/image_classification/mobilenetv4hl__fashionmnist/mobilenetv_041,prompt/image_classification/mobilenetv4hl__fashionmnist.json
+mobilenetv4hl__svhn,mobilenetv4hl,svhn,mobilenetv_042,36496434,200,accuracy (%),96.32,0.05,96.19,96.44,ckpt/image_classification/mobilenetv4hl__svhn/mobilenetv_042,prompt/image_classification/mobilenetv4hl__svhn.json
+mobilenetv4hl075__cifar10,mobilenetv4hl075,cifar10,mobilenetv_116,21486794,200,accuracy (%),62.01,0.16,61.64,62.48,ckpt/image_classification/mobilenetv4hl075__cifar10/mobilenetv_116,prompt/image_classification/mobilenetv4hl075__cifar10.json
+mobilenetv4hl075__tinyimagenet,mobilenetv4hl075,tinyimagenet,mobilenetv_144,21730184,200,accuracy (%),29.31,0.16,28.91,29.75,ckpt/image_classification/mobilenetv4hl075__tinyimagenet/mobilenetv_144,prompt/image_classification/mobilenetv4hl075__tinyimagenet.json
+resnet18__cifar10,resnet18,cifar10,resnet18_019,11181642,200,accuracy (%),91.89,0.74,89.26,93.09,ckpt/image_classification/resnet18__cifar10/resnet18_019,prompt/image_classification/resnet18__cifar10.json
+resnet18__fashionmnist,resnet18,fashionmnist,resnet18_029,11181642,200,accuracy (%),91.96,1.04,87.32,93.49,ckpt/image_classification/resnet18__fashionmnist/resnet18_029,prompt/image_classification/resnet18__fashionmnist.json
+resnet18__mnist,resnet18,mnist,resnet18_009,11181642,200,accuracy (%),99.03,0.26,97.83,99.46,ckpt/image_classification/resnet18__mnist/resnet18_009,prompt/image_classification/resnet18__mnist.json
+resnet18__svhn,resnet18,svhn,resnet18_039,11181642,200,accuracy (%),94.7,0.39,93.31,95.48,ckpt/image_classification/resnet18__svhn/resnet18_039,prompt/image_classification/resnet18__svhn.json
+resnet18__tinyimagenet,resnet18,tinyimagenet,resnet18_049,11279112,200,accuracy (%),67.86,0.55,65.72,69.24,ckpt/image_classification/resnet18__tinyimagenet/resnet18_049,prompt/image_classification/resnet18__tinyimagenet.json
+resnetmini__cifar10,resnetmini,cifar10,resnetmini_104,927398,200,accuracy (%),80.25,0.09,80.01,80.41,ckpt/image_classification/resnetmini__cifar10/resnetmini_104,prompt/image_classification/resnetmini__cifar10.json
+resnetmini__fashionmnist,resnetmini,fashionmnist,resnetmini_015,927398,200,accuracy (%),89.4,0.99,85.05,91.07,ckpt/image_classification/resnetmini__fashionmnist/resnetmini_015,prompt/image_classification/resnetmini__fashionmnist.json
+resnetmini__mnist,resnetmini,mnist,resnetmini_038,927398,200,accuracy (%),98.03,0.9,91.97,99.13,ckpt/image_classification/resnetmini__mnist/resnetmini_038,prompt/image_classification/resnetmini__mnist.json
+resnetmini__svhn,resnetmini,svhn,resnetmini_028,927398,200,accuracy (%),89.24,1.68,79.37,91.98,ckpt/image_classification/resnetmini__svhn/resnetmini_028,prompt/image_classification/resnetmini__svhn.json
+resnetmini__tinyimagenet,resnetmini,tinyimagenet,resnetmini_049,970148,200,accuracy (%),27.62,1.02,24.25,29.59,ckpt/image_classification/resnetmini__tinyimagenet/resnetmini_049,prompt/image_classification/resnetmini__tinyimagenet.json
+vitmini__cifar10,vitmini,cifar10,vitmini_009,918410,200,accuracy (%),65.84,0.91,63.27,67.72,ckpt/image_classification/vitmini__cifar10/vitmini_009,prompt/image_classification/vitmini__cifar10.json
+vitmini__fashionmnist,vitmini,fashionmnist,vitmini_019,918410,200,accuracy (%),85.81,0.77,82.81,87.47,ckpt/image_classification/vitmini__fashionmnist/vitmini_019,prompt/image_classification/vitmini__fashionmnist.json
+vitmini__mnist,vitmini,mnist,vitmini_039,918410,200,accuracy (%),96.26,0.58,93.41,97.29,ckpt/image_classification/vitmini__mnist/vitmini_039,prompt/image_classification/vitmini__mnist.json
+vitmini__svhn,vitmini,svhn,vitmini_029,918410,200,accuracy (%),85.54,0.76,83.37,87.24,ckpt/image_classification/vitmini__svhn/vitmini_029,prompt/image_classification/vitmini__svhn.json
+vitmini__tinyimagenet,vitmini,tinyimagenet,vitmini_049,942920,200,accuracy (%),27.79,0.4,26.46,28.78,ckpt/image_classification/vitmini__tinyimagenet/vitmini_049,prompt/image_classification/vitmini__tinyimagenet.json
+vitsmall__cifar10,vitsmall,cifar10,vitsmall_111,21669514,200,accuracy (%),97.32,0.05,97.21,97.42,ckpt/image_classification/vitsmall__cifar10/vitsmall_111,prompt/image_classification/vitsmall__cifar10.json
+vitsmall__fashionmnist,vitsmall,fashionmnist,vitsmall_029,21669514,200,accuracy (%),89.36,1.25,84.54,91.57,ckpt/image_classification/vitsmall__fashionmnist/vitsmall_029,prompt/image_classification/vitsmall__fashionmnist.json
+vitsmall__mnist,vitsmall,mnist,vitsmall_009,21669514,200,accuracy (%),97.47,0.78,94.32,98.81,ckpt/image_classification/vitsmall__mnist/vitsmall_009,prompt/image_classification/vitsmall__mnist.json
+vitsmall__svhn,vitsmall,svhn,vitsmall_039,21669514,200,accuracy (%),90.95,1.21,87.56,93.31,ckpt/image_classification/vitsmall__svhn/vitsmall_039,prompt/image_classification/vitsmall__svhn.json
+vitsmall__tinyimagenet,vitsmall,tinyimagenet,vitsmall_144,21742664,200,accuracy (%),80.09,0.13,79.88,80.5,ckpt/image_classification/vitsmall__tinyimagenet/vitsmall_144,prompt/image_classification/vitsmall__tinyimagenet.json

viewer/text_classification.csv ADDED Viewed

	@@ -0,0 +1,71 @@

+cell,architecture,dataset,model_id,parameters,checkpoints,metric,pool_mean,pool_std,pool_min,pool_max,pool_path,prompt_file
+bertbase__agnews,bertbase,agnews,bertbase_010,86044420,200,accuracy (%),94.55,0.06,94.39,94.66,ckpt/text_classification/bertbase__agnews/bertbase_010,prompt/text_classification/bertbase__agnews.json
+bertbase__goemotions,bertbase,goemotions,bertbase_000,86062876,200,micro-F1 (%),57.88,0.17,57.31,58.18,ckpt/text_classification/bertbase__goemotions/bertbase_000,prompt/text_classification/bertbase__goemotions.json
+bertbase__imdb,bertbase,imdb,bertbase_020,86042882,200,accuracy (%),92.27,0.05,92.14,92.36,ckpt/text_classification/bertbase__imdb/bertbase_020,prompt/text_classification/bertbase__imdb.json
+bertbase__sst2,bertbase,sst2,bertbase_000,86042882,200,accuracy (%),92.48,0.15,92.2,92.78,ckpt/text_classification/bertbase__sst2/bertbase_000,prompt/text_classification/bertbase__sst2.json
+bertbase__trec,bertbase,trec,bertbase_000,86045958,200,accuracy (%),97.2,0.0,97.2,97.2,ckpt/text_classification/bertbase__trec/bertbase_000,prompt/text_classification/bertbase__trec.json
+berttiny__agnews,berttiny,agnews,berttiny_004,479620,200,accuracy (%),92.52,0.09,92.17,92.68,ckpt/text_classification/berttiny__agnews/berttiny_004,prompt/text_classification/berttiny__agnews.json
+berttiny__goemotions,berttiny,goemotions,berttiny_010,482716,200,micro-F1 (%),50.63,0.09,50.4,50.91,ckpt/text_classification/berttiny__goemotions/berttiny_010,prompt/text_classification/berttiny__goemotions.json
+berttiny__imdb,berttiny,imdb,berttiny_008,479362,200,accuracy (%),81.1,0.23,80.28,81.46,ckpt/text_classification/berttiny__imdb/berttiny_008,prompt/text_classification/berttiny__imdb.json
+berttiny__sst2,berttiny,sst2,berttiny_000,479362,200,accuracy (%),82.77,0.4,81.65,83.72,ckpt/text_classification/berttiny__sst2/berttiny_000,prompt/text_classification/berttiny__sst2.json
+berttiny__trec,berttiny,trec,berttiny_010,479878,200,accuracy (%),91.65,0.19,91.2,92.0,ckpt/text_classification/berttiny__trec/berttiny_010,prompt/text_classification/berttiny__trec.json
+debertav3small__agnews,debertav3small,agnews,debertav3s_010,43517188,200,accuracy (%),94.81,0.08,94.54,95.0,ckpt/text_classification/debertav3small__agnews/debertav3s_010,prompt/text_classification/debertav3small__agnews.json
+debertav3small__goemotions,debertav3small,goemotions,debertav3s_000,43535644,200,micro-F1 (%),57.93,0.21,57.31,58.33,ckpt/text_classification/debertav3small__goemotions/debertav3s_000,prompt/text_classification/debertav3small__goemotions.json
+debertav3small__imdb,debertav3small,imdb,debertav3s_020,43515650,200,accuracy (%),93.77,0.04,93.67,93.86,ckpt/text_classification/debertav3small__imdb/debertav3s_020,prompt/text_classification/debertav3small__imdb.json
+debertav3small__sst2,debertav3small,sst2,debertav3s_000,43515650,200,accuracy (%),94.08,0.17,93.58,94.5,ckpt/text_classification/debertav3small__sst2/debertav3s_000,prompt/text_classification/debertav3small__sst2.json
+debertav3small__trec,debertav3small,trec,debertav3s_000,43518726,200,accuracy (%),97.15,0.1,97.0,97.4,ckpt/text_classification/debertav3small__trec/debertav3s_000,prompt/text_classification/debertav3small__trec.json
+debertav3xsmall__agnews,debertav3xsmall,agnews,debertav3x_000,21641092,200,accuracy (%),94.4,0.06,94.25,94.59,ckpt/text_classification/debertav3xsmall__agnews/debertav3x_000,prompt/text_classification/debertav3xsmall__agnews.json
+debertav3xsmall__goemotions,debertav3xsmall,goemotions,debertav3x_001,21650332,200,micro-F1 (%),57.04,0.19,56.5,57.58,ckpt/text_classification/debertav3xsmall__goemotions/debertav3x_001,prompt/text_classification/debertav3xsmall__goemotions.json
+debertav3xsmall__imdb,debertav3xsmall,imdb,debertav3x_000,21640322,200,accuracy (%),95.19,0.02,95.1,95.25,ckpt/text_classification/debertav3xsmall__imdb/debertav3x_000,prompt/text_classification/debertav3xsmall__imdb.json
+debertav3xsmall__sst2,debertav3xsmall,sst2,debertav3x_000,21640322,200,accuracy (%),93.01,0.21,92.55,93.46,ckpt/text_classification/debertav3xsmall__sst2/debertav3x_000,prompt/text_classification/debertav3xsmall__sst2.json
+debertav3xsmall__trec,debertav3xsmall,trec,debertav3x_000,21641862,200,accuracy (%),95.72,0.23,95.4,96.0,ckpt/text_classification/debertav3xsmall__trec/debertav3x_000,prompt/text_classification/debertav3xsmall__trec.json
+distilbert__agnews,distilbert,agnews,distilbert_010,43515652,200,accuracy (%),94.82,0.06,94.67,94.97,ckpt/text_classification/distilbert__agnews/distilbert_010,prompt/text_classification/distilbert__agnews.json
+distilbert__goemotions,distilbert,goemotions,distilbert_000,43534108,200,micro-F1 (%),57.25,0.13,56.96,57.52,ckpt/text_classification/distilbert__goemotions/distilbert_000,prompt/text_classification/distilbert__goemotions.json
+distilbert__imdb,distilbert,imdb,distilbert_020,43514114,200,accuracy (%),91.45,0.03,91.32,91.52,ckpt/text_classification/distilbert__imdb/distilbert_020,prompt/text_classification/distilbert__imdb.json
+distilbert__sst2,distilbert,sst2,distilbert_000,43514114,200,accuracy (%),90.75,0.21,90.25,91.17,ckpt/text_classification/distilbert__sst2/distilbert_000,prompt/text_classification/distilbert__sst2.json
+distilbert__trec,distilbert,trec,distilbert_000,43517190,200,accuracy (%),97.22,0.06,97.2,97.4,ckpt/text_classification/distilbert__trec/distilbert_000,prompt/text_classification/distilbert__trec.json
+distilrobertabase__agnews,distilrobertabase,agnews,distilrobe_000,43517956,200,accuracy (%),94.91,0.05,94.76,95.04,ckpt/text_classification/distilrobertabase__agnews/distilrobe_000,prompt/text_classification/distilrobertabase__agnews.json
+distilrobertabase__goemotions,distilrobertabase,goemotions,distilrobe_000,43536412,200,micro-F1 (%),57.49,0.25,56.96,57.97,ckpt/text_classification/distilrobertabase__goemotions/distilrobe_000,prompt/text_classification/distilrobertabase__goemotions.json
+distilrobertabase__imdb,distilrobertabase,imdb,distilrobe_000,43516418,200,accuracy (%),94.42,0.05,94.27,94.5,ckpt/text_classification/distilrobertabase__imdb/distilrobe_000,prompt/text_classification/distilrobertabase__imdb.json
+distilrobertabase__sst2,distilrobertabase,sst2,distilrobe_000,43516418,200,accuracy (%),92.74,0.14,92.32,93.0,ckpt/text_classification/distilrobertabase__sst2/distilrobe_000,prompt/text_classification/distilrobertabase__sst2.json
+distilrobertabase__trec,distilrobertabase,trec,distilrobe_000,43519494,200,accuracy (%),96.72,0.1,96.6,97.0,ckpt/text_classification/distilrobertabase__trec/distilrobe_000,prompt/text_classification/distilrobertabase__trec.json
+electrasmall__agnews,electrasmall,agnews,electrasma_000,9643012,200,accuracy (%),93.51,0.07,93.3,93.68,ckpt/text_classification/electrasmall__agnews/electrasma_000,prompt/text_classification/electrasmall__agnews.json
+electrasmall__goemotions,electrasmall,goemotions,electrasma_001,9649180,200,micro-F1 (%),56.25,0.13,55.96,56.56,ckpt/text_classification/electrasmall__goemotions/electrasma_001,prompt/text_classification/electrasmall__goemotions.json
+electrasmall__imdb,electrasmall,imdb,electrasma_001,9642498,200,accuracy (%),92.45,0.12,92.19,92.68,ckpt/text_classification/electrasmall__imdb/electrasma_001,prompt/text_classification/electrasmall__imdb.json
+electrasmall__sst2,electrasmall,sst2,electrasma_000,9642498,200,accuracy (%),91.3,0.23,90.71,91.86,ckpt/text_classification/electrasmall__sst2/electrasma_000,prompt/text_classification/electrasmall__sst2.json
+electrasmall__trec,electrasmall,trec,electrasma_000,9643526,200,accuracy (%),95.18,0.14,95.0,95.4,ckpt/text_classification/electrasmall__trec/electrasma_000,prompt/text_classification/electrasmall__trec.json
+gpt2small__agnews,gpt2small,agnews,gpt2small_010,85845504,200,accuracy (%),94.73,0.04,94.5,94.86,ckpt/text_classification/gpt2small__agnews/gpt2small_010,prompt/text_classification/gpt2small__agnews.json
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