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[mieb] use Logistic Regression classifier for AbsTaskImageMultilabelClassification #1420

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5 changes: 3 additions & 2 deletions mteb/abstasks/Image/AbsTaskImageMultilabelClassification.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,8 @@
from sklearn.base import ClassifierMixin, clone
from sklearn.metrics import f1_score, label_ranking_average_precision_score
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.multioutput import MultiOutputClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import MultiLabelBinarizer

from mteb.abstasks.TaskMetadata import HFSubset
Expand Down Expand Up @@ -52,7 +53,7 @@ class AbsTaskImageMultilabelClassification(AbsTask):
image_column_name: str = "image"
label_column_name: str = "labels"

classifier = KNeighborsClassifier(n_neighbors=5)
classifier = MultiOutputClassifier(estimator=LogisticRegression())

def __init__(
self,
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -54,4 +54,4 @@ class VOC2007Classification(AbsTaskImageMultilabelClassification):
label_column_name: str = "classes"

# To be removed when we want full results
n_experiments: int = 1
n_experiments: int = 5
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 71.94576096534729,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.3903069466882068,
"f1": 0.6257925811318822,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.5316062533656477,
"main_score": 0.3903069466882068,
"scores_per_experiment": [
{
"accuracy": 0.3905492730210016,
"f1": 0.6235333142876379,
"lrap": 0.5233687847783186
},
{
"accuracy": 0.401453957996769,
"f1": 0.6273491281205146,
"lrap": 0.5416105726081543
},
{
"accuracy": 0.37621163166397414,
"f1": 0.6161039070570788,
"lrap": 0.5324994951534777
},
{
"accuracy": 0.38126009693053314,
"f1": 0.6219616890190912,
"lrap": 0.5204900376952104
},
{
"accuracy": 0.4020597738287561,
"f1": 0.6400148671750886,
"lrap": 0.540062376593077
}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"name": "facebook/dinov2-base", "revision": "f9e44c814b77203eaa57a6bdbbd535f21ede1415", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_source": true, "similarity_fn_name": null, "framework": [], "loader": "DINOModelWrapper"}
{"name": "facebook/dinov2-base", "revision": "f9e44c814b77203eaa57a6bdbbd535f21ede1415", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "DINOModelWrapper"}
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 408.0938787460327,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.3851373182552503,
"f1": 0.6315092630757977,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.5298672253634935,
"main_score": 0.3851373182552503,
"scores_per_experiment": [
{
"accuracy": 0.3939822294022617,
"f1": 0.6271304662163256,
"lrap": 0.53264393735416
},
{
"accuracy": 0.3945880452342488,
"f1": 0.6263229032757067,
"lrap": 0.5370607835218142
},
{
"accuracy": 0.3784329563812601,
"f1": 0.6339676248065612,
"lrap": 0.5346142411595813
},
{
"accuracy": 0.3689418416801292,
"f1": 0.6304914034835388,
"lrap": 0.5144189777418785
},
{
"accuracy": 0.3897415185783522,
"f1": 0.6396339175968564,
"lrap": 0.5305981870400338
}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
{"name": "facebook/dinov2-giant", "revision": "611a9d42f2335e0f921f1e313ad3c1b7178d206d", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "DINOModelWrapper"}
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 146.90911436080933,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.35315024232633274,
"f1": 0.5817890400372185,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.49049121567043397,
"main_score": 0.35315024232633274,
"scores_per_experiment": [
{
"accuracy": 0.3667205169628433,
"f1": 0.591090519122089,
"lrap": 0.5039753859271227
},
{
"accuracy": 0.34995961227786754,
"f1": 0.5618180857706963,
"lrap": 0.48571452611739013
},
{
"accuracy": 0.34693053311793215,
"f1": 0.5774757520432393,
"lrap": 0.49124652216837067
},
{
"accuracy": 0.33582390953150243,
"f1": 0.5718289254309215,
"lrap": 0.4711502647639497
},
{
"accuracy": 0.36631663974151857,
"f1": 0.606731917819147,
"lrap": 0.5003693793753363
}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"name": "facebook/dinov2-large", "revision": "47b73eefe95e8d44ec3623f8890bd894b6ea2d6c", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_source": true, "similarity_fn_name": null, "framework": [], "loader": "DINOModelWrapper"}
{"name": "facebook/dinov2-large", "revision": "47b73eefe95e8d44ec3623f8890bd894b6ea2d6c", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "DINOModelWrapper"}
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 52.176159620285034,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.4340064620355412,
"f1": 0.6759098897017933,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.5801337843295732,
"main_score": 0.4340064620355412,
"scores_per_experiment": [
{
"accuracy": 0.4184168012924071,
"f1": 0.6581607635477135,
"lrap": 0.563152373900564
},
{
"accuracy": 0.44810177705977383,
"f1": 0.6892652132242753,
"lrap": 0.5981864790881464
},
{
"accuracy": 0.44426494345718903,
"f1": 0.6797744937645096,
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},
{
"accuracy": 0.43073505654281097,
"f1": 0.6706176542382969,
"lrap": 0.5713583737210639
},
{
"accuracy": 0.42851373182552505,
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"lrap": 0.5687508414108857
}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"name": "facebook/dinov2-small", "revision": "ed25f3a31f01632728cabb09d1542f84ab7b0056", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_source": true, "similarity_fn_name": null, "framework": [], "loader": "DINOModelWrapper"}
{"name": "facebook/dinov2-small", "revision": "ed25f3a31f01632728cabb09d1542f84ab7b0056", "release_date": "2023-07-18", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "DINOModelWrapper"}
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 39.63397932052612,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.5000807754442649,
"f1": 0.6763180027107614,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.6410416666666808,
"main_score": 0.5000807754442649,
"scores_per_experiment": [
{
"accuracy": 0.5038368336025848,
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},
{
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},
{
"accuracy": 0.4888933764135703,
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{
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{
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}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
{"name": "laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K", "revision": "f0e2ffa09cbadab3db6a261ec1ec56407ce42912", "release_date": "2023-04-26", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "openclip_loader"}
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
{
"dataset_revision": "dbafdb9e1506c9c419c5c4672e409463cd21ba50",
"evaluation_time": 106.33361673355103,
"kg_co2_emissions": null,
"mteb_version": "1.16.5",
"scores": {
"test": [
{
"accuracy": 0.5382875605815831,
"f1": 0.7099573953664177,
"hf_subset": "default",
"languages": [
"eng-Latn"
],
"lrap": 0.6770555667743827,
"main_score": 0.5382875605815831,
"scores_per_experiment": [
{
"accuracy": 0.5484652665589661,
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{
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}
]
}
]
},
"task_name": "VOC2007"
}
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"name": "laion/CLIP-ViT-H-14-laion2B-s32B-b79K", "revision": "de081ac0a0ca8dc9d1533eed1ae884bb8ae1404b", "release_date": "2022-09-15", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_source": true, "similarity_fn_name": null, "framework": [], "loader": "openclip_loader"}
{"name": "laion/CLIP-ViT-H-14-laion2B-s32B-b79K", "revision": "de081ac0a0ca8dc9d1533eed1ae884bb8ae1404b", "release_date": "2022-09-15", "languages": ["eng_Latn"], "n_parameters": null, "memory_usage": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": null, "public_training_data": null, "public_training_code": null, "framework": [], "reference": null, "similarity_fn_name": null, "use_instuctions": null, "zero_shot_benchmarks": null, "loader": "openclip_loader"}
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