OpenEEGBench / backend /app /data /sample_results.json
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Fix server 500 error and replace HF logos with eegdash branding
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[
{
"fullname": "braindecode/LaBraM-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "abc123def456",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 48.2,
"bcic2a_accuracy": 0.292,
"physionet_accuracy": 0.315,
"isruc_sleep_accuracy": 0.721,
"tuab_accuracy": 0.834,
"tuev_accuracy": 0.412,
"chbmit_accuracy": 0.763,
"faced_accuracy": 0.234,
"seedv_accuracy": 0.287,
"#Params (M)": 3.2,
"embed_dim": 200,
"trainable_params": 262144,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-15",
"Submission Date": "2025-01-14",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 12
},
{
"fullname": "braindecode/LaBraM-AdaLoRA",
"adapter": "adalora",
"Precision": "float32",
"Model sha": "bcd234efg567",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 46.8,
"bcic2a_accuracy": 0.278,
"physionet_accuracy": 0.301,
"isruc_sleep_accuracy": 0.698,
"tuab_accuracy": 0.821,
"tuev_accuracy": 0.398,
"chbmit_accuracy": 0.745,
"faced_accuracy": 0.221,
"seedv_accuracy": 0.275,
"#Params (M)": 3.4,
"embed_dim": 200,
"trainable_params": 294912,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-16",
"Submission Date": "2025-01-15",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 8
},
{
"fullname": "braindecode/LaBraM-IA3",
"adapter": "ia3",
"Precision": "float32",
"Model sha": "cde345fgh678",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 44.1,
"bcic2a_accuracy": 0.265,
"physionet_accuracy": 0.288,
"isruc_sleep_accuracy": 0.672,
"tuab_accuracy": 0.798,
"tuev_accuracy": 0.381,
"chbmit_accuracy": 0.718,
"faced_accuracy": 0.209,
"seedv_accuracy": 0.261,
"#Params (M)": 0.8,
"embed_dim": 200,
"trainable_params": 65536,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-17",
"Submission Date": "2025-01-16",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 5
},
{
"fullname": "braindecode/LaBraM-DoRA",
"adapter": "dora",
"Precision": "float32",
"Model sha": "def456ghi789",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 49.5,
"bcic2a_accuracy": 0.305,
"physionet_accuracy": 0.328,
"isruc_sleep_accuracy": 0.735,
"tuab_accuracy": 0.842,
"tuev_accuracy": 0.425,
"chbmit_accuracy": 0.778,
"faced_accuracy": 0.241,
"seedv_accuracy": 0.298,
"#Params (M)": 3.5,
"embed_dim": 200,
"trainable_params": 327680,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-18",
"Submission Date": "2025-01-17",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 15
},
{
"fullname": "braindecode/LaBraM-FullFT",
"adapter": "full_finetune",
"Precision": "float32",
"Model sha": "efg567hij890",
"Architecture": "labram",
"Weight type": "Original",
"Average \u2b06\ufe0f": 51.2,
"bcic2a_accuracy": 0.318,
"physionet_accuracy": 0.342,
"isruc_sleep_accuracy": 0.758,
"tuab_accuracy": 0.861,
"tuev_accuracy": 0.448,
"chbmit_accuracy": 0.795,
"faced_accuracy": 0.258,
"seedv_accuracy": 0.312,
"#Params (M)": 12.5,
"embed_dim": 200,
"trainable_params": 12500000,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-19",
"Submission Date": "2025-01-18",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 20
},
{
"fullname": "braindecode/EEGPT-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "fgh678ijk901",
"Architecture": "eegpt",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 45.6,
"bcic2a_accuracy": 0.275,
"physionet_accuracy": 0.298,
"isruc_sleep_accuracy": 0.695,
"tuab_accuracy": 0.812,
"tuev_accuracy": 0.395,
"chbmit_accuracy": 0.738,
"faced_accuracy": 0.218,
"seedv_accuracy": 0.269,
"#Params (M)": 5.1,
"embed_dim": 256,
"trainable_params": 524288,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-01",
"Submission Date": "2025-01-31",
"Base Model": "EEGPT",
"Hub License": "Apache-2.0",
"Hub \u2764\ufe0f": 18
},
{
"fullname": "braindecode/EEGPT-DoRA",
"adapter": "dora",
"Precision": "float32",
"Model sha": "ghi789jkl012",
"Architecture": "eegpt",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 47.1,
"bcic2a_accuracy": 0.289,
"physionet_accuracy": 0.312,
"isruc_sleep_accuracy": 0.712,
"tuab_accuracy": 0.825,
"tuev_accuracy": 0.408,
"chbmit_accuracy": 0.752,
"faced_accuracy": 0.228,
"seedv_accuracy": 0.282,
"#Params (M)": 5.4,
"embed_dim": 256,
"trainable_params": 589824,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-02",
"Submission Date": "2025-02-01",
"Base Model": "EEGPT",
"Hub License": "Apache-2.0",
"Hub \u2764\ufe0f": 14
},
{
"fullname": "braindecode/EEGPT-FullFT",
"adapter": "full_finetune",
"Precision": "float32",
"Model sha": "hij890klm123",
"Architecture": "eegpt",
"Weight type": "Original",
"Average \u2b06\ufe0f": 49.8,
"bcic2a_accuracy": 0.312,
"physionet_accuracy": 0.335,
"isruc_sleep_accuracy": 0.741,
"tuab_accuracy": 0.848,
"tuev_accuracy": 0.432,
"chbmit_accuracy": 0.781,
"faced_accuracy": 0.245,
"seedv_accuracy": 0.305,
"#Params (M)": 18.7,
"embed_dim": 256,
"trainable_params": 18700000,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-03",
"Submission Date": "2025-02-02",
"Base Model": "EEGPT",
"Hub License": "Apache-2.0",
"Hub \u2764\ufe0f": 22
},
{
"fullname": "braindecode/BIOT-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "ijk901lmn234",
"Architecture": "biot",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 43.8,
"bcic2a_accuracy": 0.258,
"physionet_accuracy": 0.281,
"isruc_sleep_accuracy": 0.668,
"tuab_accuracy": 0.795,
"tuev_accuracy": 0.375,
"chbmit_accuracy": 0.712,
"faced_accuracy": 0.205,
"seedv_accuracy": 0.255,
"#Params (M)": 2.8,
"embed_dim": 128,
"trainable_params": 196608,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-05",
"Submission Date": "2025-02-04",
"Base Model": "BIOT",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 9
},
{
"fullname": "braindecode/BIOT-OFT",
"adapter": "oft",
"Precision": "float32",
"Model sha": "jkl012mno345",
"Architecture": "biot",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 42.5,
"bcic2a_accuracy": 0.248,
"physionet_accuracy": 0.271,
"isruc_sleep_accuracy": 0.652,
"tuab_accuracy": 0.781,
"tuev_accuracy": 0.362,
"chbmit_accuracy": 0.698,
"faced_accuracy": 0.198,
"seedv_accuracy": 0.248,
"#Params (M)": 1.9,
"embed_dim": 128,
"trainable_params": 131072,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-06",
"Submission Date": "2025-02-05",
"Base Model": "BIOT",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 6
},
{
"fullname": "braindecode/BENDR-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "klm123nop456",
"Architecture": "bendr",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 41.2,
"bcic2a_accuracy": 0.242,
"physionet_accuracy": 0.265,
"isruc_sleep_accuracy": 0.638,
"tuab_accuracy": 0.768,
"tuev_accuracy": 0.348,
"chbmit_accuracy": 0.685,
"faced_accuracy": 0.192,
"seedv_accuracy": 0.241,
"#Params (M)": 4.2,
"embed_dim": 512,
"trainable_params": 393216,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-08",
"Submission Date": "2025-02-07",
"Base Model": "BENDR",
"Hub License": "BSD-3",
"Hub \u2764\ufe0f": 7
},
{
"fullname": "braindecode/BENDR-Probe",
"adapter": "probe",
"Precision": "float32",
"Model sha": "lmn234opq567",
"Architecture": "bendr",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 38.5,
"bcic2a_accuracy": 0.225,
"physionet_accuracy": 0.248,
"isruc_sleep_accuracy": 0.612,
"tuab_accuracy": 0.742,
"tuev_accuracy": 0.328,
"chbmit_accuracy": 0.655,
"faced_accuracy": 0.178,
"seedv_accuracy": 0.228,
"#Params (M)": 0.5,
"embed_dim": 512,
"trainable_params": 32768,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-09",
"Submission Date": "2025-02-08",
"Base Model": "BENDR",
"Hub License": "BSD-3",
"Hub \u2764\ufe0f": 4
},
{
"fullname": "braindecode/SignalJEPA-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "mno345pqr678",
"Architecture": "signal_jepa",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 50.8,
"bcic2a_accuracy": 0.315,
"physionet_accuracy": 0.338,
"isruc_sleep_accuracy": 0.748,
"tuab_accuracy": 0.855,
"tuev_accuracy": 0.442,
"chbmit_accuracy": 0.788,
"faced_accuracy": 0.252,
"seedv_accuracy": 0.308,
"#Params (M)": 8.6,
"embed_dim": 384,
"trainable_params": 786432,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-10",
"Submission Date": "2025-02-09",
"Base Model": "SignalJEPA",
"Hub License": "Apache-2.0",
"Hub \u2764\ufe0f": 25
},
{
"fullname": "braindecode/SignalJEPA-DoRA",
"adapter": "dora",
"Precision": "float32",
"Model sha": "nop456qrs789",
"Architecture": "signal_jepa",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 52.1,
"bcic2a_accuracy": 0.325,
"physionet_accuracy": 0.348,
"isruc_sleep_accuracy": 0.762,
"tuab_accuracy": 0.868,
"tuev_accuracy": 0.455,
"chbmit_accuracy": 0.801,
"faced_accuracy": 0.262,
"seedv_accuracy": 0.318,
"#Params (M)": 9.1,
"embed_dim": 384,
"trainable_params": 851968,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-11",
"Submission Date": "2025-02-10",
"Base Model": "SignalJEPA",
"Hub License": "Apache-2.0",
"Hub \u2764\ufe0f": 28
},
{
"fullname": "braindecode/CBraMod-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "opq567rst890",
"Architecture": "cbramod",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 47.5,
"bcic2a_accuracy": 0.288,
"physionet_accuracy": 0.311,
"isruc_sleep_accuracy": 0.715,
"tuab_accuracy": 0.828,
"tuev_accuracy": 0.411,
"chbmit_accuracy": 0.755,
"faced_accuracy": 0.231,
"seedv_accuracy": 0.285,
"#Params (M)": 6.3,
"embed_dim": 256,
"trainable_params": 524288,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-12",
"Submission Date": "2025-02-11",
"Base Model": "CBraMod",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 16
},
{
"fullname": "braindecode/CBraMod-IA3",
"adapter": "ia3",
"Precision": "float32",
"Model sha": "pqr678stu901",
"Architecture": "cbramod",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 44.8,
"bcic2a_accuracy": 0.268,
"physionet_accuracy": 0.291,
"isruc_sleep_accuracy": 0.685,
"tuab_accuracy": 0.805,
"tuev_accuracy": 0.388,
"chbmit_accuracy": 0.725,
"faced_accuracy": 0.215,
"seedv_accuracy": 0.265,
"#Params (M)": 1.2,
"embed_dim": 256,
"trainable_params": 98304,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-13",
"Submission Date": "2025-02-12",
"Base Model": "CBraMod",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 10
},
{
"fullname": "braindecode/REVE-LoRA",
"adapter": "lora",
"Precision": "float32",
"Model sha": "qrs789tuv012",
"Architecture": "reve",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 46.2,
"bcic2a_accuracy": 0.278,
"physionet_accuracy": 0.301,
"isruc_sleep_accuracy": 0.702,
"tuab_accuracy": 0.818,
"tuev_accuracy": 0.401,
"chbmit_accuracy": 0.742,
"faced_accuracy": 0.222,
"seedv_accuracy": 0.275,
"#Params (M)": 7.4,
"embed_dim": 320,
"trainable_params": 655360,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-14",
"Submission Date": "2025-02-13",
"Base Model": "REVE",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 11
},
{
"fullname": "braindecode/REVE-FullFT",
"adapter": "full_finetune",
"Precision": "float32",
"Model sha": "rst890uvw123",
"Architecture": "reve",
"Weight type": "Original",
"Average \u2b06\ufe0f": 50.1,
"bcic2a_accuracy": 0.308,
"physionet_accuracy": 0.331,
"isruc_sleep_accuracy": 0.745,
"tuab_accuracy": 0.852,
"tuev_accuracy": 0.438,
"chbmit_accuracy": 0.785,
"faced_accuracy": 0.248,
"seedv_accuracy": 0.302,
"#Params (M)": 24.8,
"embed_dim": 320,
"trainable_params": 24800000,
"Available on the hub": true,
"Upload To Hub Date": "2025-02-15",
"Submission Date": "2025-02-14",
"Base Model": "REVE",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 19
},
{
"fullname": "braindecode/LaBraM-OFT",
"adapter": "oft",
"Precision": "float32",
"Model sha": "stu901vwx234",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 45.9,
"bcic2a_accuracy": 0.272,
"physionet_accuracy": 0.295,
"isruc_sleep_accuracy": 0.689,
"tuab_accuracy": 0.808,
"tuev_accuracy": 0.392,
"chbmit_accuracy": 0.732,
"faced_accuracy": 0.218,
"seedv_accuracy": 0.268,
"#Params (M)": 2.1,
"embed_dim": 200,
"trainable_params": 163840,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-20",
"Submission Date": "2025-01-19",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 7
},
{
"fullname": "braindecode/LaBraM-Probe",
"adapter": "probe",
"Precision": "float32",
"Model sha": "tuv012wxy345",
"Architecture": "labram",
"Weight type": "Adapter",
"Average \u2b06\ufe0f": 40.8,
"bcic2a_accuracy": 0.238,
"physionet_accuracy": 0.261,
"isruc_sleep_accuracy": 0.628,
"tuab_accuracy": 0.758,
"tuev_accuracy": 0.342,
"chbmit_accuracy": 0.672,
"faced_accuracy": 0.188,
"seedv_accuracy": 0.235,
"#Params (M)": 0.4,
"embed_dim": 200,
"trainable_params": 16384,
"Available on the hub": true,
"Upload To Hub Date": "2025-01-21",
"Submission Date": "2025-01-20",
"Base Model": "LaBraM",
"Hub License": "MIT",
"Hub \u2764\ufe0f": 3
}
]