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RuslanAntjuschin commited on Sep 30

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AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_avg.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_hsn.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_nbp.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_nes.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_per.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_sne.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_ssw.json +1 -0
AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_uhh.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_avg.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_hsn.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_nbp.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_nes.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_per.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_sne.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_ssw.json +1 -0
AST-XCL/AST-XCL_eval_request_float32_XCL_uhh.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_avg.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_hsn.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_nbp.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_nes.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_per.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_sne.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_ssw.json +1 -0
AST-XCM/AST-XCM_eval_request_float32_XCM_uhh.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_avg.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_hsn.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_nbp.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_nes.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_per.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_sne.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_ssw.json +1 -0
ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_uhh.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_avg.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_hsn.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_nbp.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_nes.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_per.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_sne.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_ssw.json +1 -0
ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_uhh.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_avg.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_hsn.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_nbp.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_nes.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_per.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_sne.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_ssw.json +1 -0
ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_uhh.json +1 -0
EAT-Dedicated/EAT-Dedicated_eval_request_Other_Dedicated_avg.json +1 -0
EAT-Dedicated/EAT-Dedicated_eval_request_Other_Dedicated_hsn.json +1 -0

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_avg.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:10:11Z", "training_dataset": "Dedicated", "testing_type": "avg", "claimed_cmap": 0.29, "claimed_auroc": 0.83, "claimed_t1acc": 0.48, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_hsn.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:10:57Z", "training_dataset": "Dedicated", "testing_type": "hsn", "claimed_cmap": 0.3, "claimed_auroc": 0.83, "claimed_t1acc": 0.46, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_nbp.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:11:15Z", "training_dataset": "Dedicated", "testing_type": "nbp", "claimed_cmap": 0.59, "claimed_auroc": 0.91, "claimed_t1acc": 0.63, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_nes.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:10:32Z", "training_dataset": "Dedicated", "testing_type": "nes", "claimed_cmap": 0.29, "claimed_auroc": 0.88, "claimed_t1acc": 0.48, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_per.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:10:24Z", "training_dataset": "Dedicated", "testing_type": "per", "claimed_cmap": 0.19, "claimed_auroc": 0.72, "claimed_t1acc": 0.42, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_sne.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:11:44Z", "training_dataset": "Dedicated", "testing_type": "sne", "claimed_cmap": 0.24, "claimed_auroc": 0.81, "claimed_t1acc": 0.53, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_ssw.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:11:32Z", "training_dataset": "Dedicated", "testing_type": "ssw", "claimed_cmap": 0.3, "claimed_auroc": 0.9, "claimed_t1acc": 0.5, "model_parameters": 86.5}

AST-Dedicated/AST-Dedicated_eval_request_float32_Dedicated_uhh.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-Dedicated", "model_link": "None", "model_backbone": "AST", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:10:45Z", "training_dataset": "Dedicated", "testing_type": "uhh", "claimed_cmap": 0.15, "claimed_auroc": 0.78, "claimed_t1acc": 0.31, "model_parameters": 86.5}

AST-XCL/AST-XCL_eval_request_float32_XCL_avg.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:11:48Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "avg", "claimed_cmap": 0.34, "claimed_auroc": 0.84, "claimed_t1acc": 0.49, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_hsn.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:13:16Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "hsn", "claimed_cmap": 0.44, "claimed_auroc": 0.85, "claimed_t1acc": 0.48, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_nbp.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:13:37Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "nbp", "claimed_cmap": 0.61, "claimed_auroc": 0.91, "claimed_t1acc": 0.66, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_nes.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:12:21Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "nes", "claimed_cmap": 0.32, "claimed_auroc": 0.89, "claimed_t1acc": 0.48, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_per.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:12:05Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "per", "claimed_cmap": 0.18, "claimed_auroc": 0.72, "claimed_t1acc": 0.4, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_sne.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:14:15Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "sne", "claimed_cmap": 0.28, "claimed_auroc": 0.82, "claimed_t1acc": 0.57, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_ssw.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:13:54Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "ssw", "claimed_cmap": 0.33, "claimed_auroc": 0.93, "claimed_t1acc": 0.51, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCL/AST-XCL_eval_request_float32_XCL_uhh.json ADDED Viewed

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1	+ {"model_name": "AST-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:12:38Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCL", "testing_type": "uhh", "claimed_cmap": 0.21, "claimed_auroc": 0.75, "claimed_t1acc": 0.39, "model_backbone": "AST", "model_parameters": 93.7}

AST-XCM/AST-XCM_eval_request_float32_XCM_avg.json ADDED Viewed

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1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:52:33Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "avg", "claimed_cmap": 0.31, "claimed_auroc": 0.83, "claimed_t1acc": 0.49, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_hsn.json ADDED Viewed

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1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:53:56Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "hsn", "claimed_cmap": 0.38, "claimed_auroc": 0.84, "claimed_t1acc": 0.48, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_nbp.json ADDED Viewed

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1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:54:08Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "nbp", "claimed_cmap": 0.61, "claimed_auroc": 0.91, "claimed_t1acc": 0.66, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_nes.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:53:17Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "nes", "claimed_cmap": 0.29, "claimed_auroc": 0.88, "claimed_t1acc": 0.46, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_per.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:52:56Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "per", "claimed_cmap": 0.15, "claimed_auroc": 0.69, "claimed_t1acc": 0.37, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_sne.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:54:34Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "sne", "claimed_cmap": 0.26, "claimed_auroc": 0.82, "claimed_t1acc": 0.59, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_ssw.json ADDED Viewed

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1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:54:22Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "ssw", "claimed_cmap": 0.3, "claimed_auroc": 0.9, "claimed_t1acc": 0.57, "model_backbone": "AST", "model_parameters": 86.5}

AST-XCM/AST-XCM_eval_request_float32_XCM_uhh.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "AST-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T16:53:38Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "uhh", "claimed_cmap": 0.19, "claimed_auroc": 0.78, "claimed_t1acc": 0.33, "model_backbone": "AST", "model_parameters": 86.5}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_avg.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:08:27Z", "training_dataset": "Dedicated", "testing_type": "avg", "claimed_cmap": 0.37, "claimed_auroc": 0.83, "claimed_t1acc": 0.52, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_hsn.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:09:05Z", "training_dataset": "Dedicated", "testing_type": "hsn", "claimed_cmap": 0.46, "claimed_auroc": 0.88, "claimed_t1acc": 0.62, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_nbp.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:09:15Z", "training_dataset": "Dedicated", "testing_type": "nbp", "claimed_cmap": 0.67, "claimed_auroc": 0.92, "claimed_t1acc": 0.69, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_nes.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:08:46Z", "training_dataset": "Dedicated", "testing_type": "nes", "claimed_cmap": 0.32, "claimed_auroc": 0.86, "claimed_t1acc": 0.45, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_per.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:08:37Z", "training_dataset": "Dedicated", "testing_type": "per", "claimed_cmap": 0.21, "claimed_auroc": 0.73, "claimed_t1acc": 0.44, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_sne.json ADDED Viewed

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1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:09:33Z", "training_dataset": "Dedicated", "testing_type": "sne", "claimed_cmap": 0.26, "claimed_auroc": 0.79, "claimed_t1acc": 0.57, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_ssw.json ADDED Viewed

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1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:09:23Z", "training_dataset": "Dedicated", "testing_type": "ssw", "claimed_cmap": 0.33, "claimed_auroc": 0.91, "claimed_t1acc": 0.5, "model_parameters": 88}

ConvNeXT-Dedicated/ConvNeXT-Dedicated_eval_request_float32_Dedicated_uhh.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:08:56Z", "training_dataset": "Dedicated", "testing_type": "uhh", "claimed_cmap": 0.23, "claimed_auroc": 0.78, "claimed_t1acc": 0.43, "model_parameters": 88}

ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_avg.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-19T13:22:07Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "LT", "testing_type": "AVG", "claimed_cmap": 0.36, "claimed_auroc": 0.85, "claimed_t1acc": 0.51, "model_backbone": "ConvNeXT", "model_parameters": 97.5}

ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_hsn.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T13:21:50Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "lt", "testing_type": "hsn", "claimed_cmap": 0.47, "claimed_auroc": 0.89, "claimed_t1acc": 0.52, "model_backbone": "ConvNeXT", "model_parameters": 97.5}

ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_nbp.json ADDED Viewed

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ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_nes.json ADDED Viewed

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ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_per.json ADDED Viewed

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ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_sne.json ADDED Viewed

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ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_ssw.json ADDED Viewed

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ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_uhh.json ADDED Viewed

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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_avg.json ADDED Viewed

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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_hsn.json ADDED Viewed

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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_nbp.json ADDED Viewed

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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_nes.json ADDED Viewed

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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_per.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "ConvNeXT-XCM", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T15:53:17Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "XCM", "testing_type": "per", "claimed_cmap": 0.18, "claimed_auroc": 0.69, "claimed_t1acc": 0.46, "model_backbone": "ConvNeXT", "model_parameters": 88}

ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_sne.json ADDED Viewed

	@@ -0,0 +1 @@


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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_ssw.json ADDED Viewed

	@@ -0,0 +1 @@


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ConvNeXT-XCM/ConvNeXT-XCM_eval_request_float32_XCM_uhh.json ADDED Viewed

	@@ -0,0 +1 @@


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EAT-Dedicated/EAT-Dedicated_eval_request_Other_Dedicated_avg.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"model_name": "EAT-Dedicated", "model_link": "None", "model_backbone": "EAT", "precision": "Other", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:12:07Z", "training_dataset": "Dedicated", "testing_type": "avg", "claimed_cmap": 0.33, "claimed_auroc": 0.78, "claimed_t1acc": 0.47, "model_parameters": 0}

EAT-Dedicated/EAT-Dedicated_eval_request_Other_Dedicated_hsn.json ADDED Viewed

	@@ -0,0 +1 @@


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