Upload SSL Layer MOS checkpoints (part 17)

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer7/run4/model_best.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer7/run4/train.log

@@ -0,0 +1,99 @@
+INFO:root:Num train speech clips: 8000
+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.28707980453968046
+INFO:root:
+[Valid][0][UTT][ MSE = 0.3199 | LCC = 0.9391 | SRCC = 0.9400 ]
+INFO:root:Average loss=0.15738872516155242
+INFO:root:
+[Valid][1][UTT][ MSE = 0.2895 | LCC = 0.9472 | SRCC = 0.9478 ]
+INFO:root:Average loss=0.14167292833328246
+INFO:root:
+[Valid][2][UTT][ MSE = 0.3073 | LCC = 0.9498 | SRCC = 0.9504 ]
+INFO:root:Average loss=0.13077422952651976
+INFO:root:
+[Valid][3][UTT][ MSE = 0.2716 | LCC = 0.9479 | SRCC = 0.9493 ]
+INFO:root:Average loss=0.11765264448523521
+INFO:root:
+[Valid][4][UTT][ MSE = 0.2611 | LCC = 0.9509 | SRCC = 0.9512 ]
+INFO:root:Average loss=0.11245845919847489
+INFO:root:
+[Valid][5][UTT][ MSE = 0.2697 | LCC = 0.9507 | SRCC = 0.9516 ]
+INFO:root:Average loss=0.1056354039311409
+INFO:root:
+[Valid][6][UTT][ MSE = 0.2458 | LCC = 0.9505 | SRCC = 0.9517 ]
+INFO:root:Average loss=0.09754019498825073
+INFO:root:
+[Valid][7][UTT][ MSE = 0.2471 | LCC = 0.9504 | SRCC = 0.9512 ]
+INFO:root:Average loss=0.09180045142769813
+INFO:root:
+[Valid][8][UTT][ MSE = 0.2171 | LCC = 0.9498 | SRCC = 0.9519 ]
+INFO:root:Average loss=0.09233760643005372
+INFO:root:
+[Valid][9][UTT][ MSE = 0.2472 | LCC = 0.9475 | SRCC = 0.9483 ]
+INFO:root:Average loss=0.08457009318470955
+INFO:root:
+[Valid][10][UTT][ MSE = 0.2371 | LCC = 0.9522 | SRCC = 0.9531 ]
+INFO:root:Average loss=0.08062963306903839
+INFO:root:
+[Valid][11][UTT][ MSE = 0.2451 | LCC = 0.9455 | SRCC = 0.9481 ]
+INFO:root:Average loss=0.08052573171257972
+INFO:root:
+[Valid][12][UTT][ MSE = 0.3017 | LCC = 0.9514 | SRCC = 0.9533 ]
+INFO:root:Average loss=0.07355453065037727
+INFO:root:
+[Valid][13][UTT][ MSE = 0.2426 | LCC = 0.9520 | SRCC = 0.9523 ]
+INFO:root:Average loss=0.06866455879807472
+INFO:root:
+[Valid][14][UTT][ MSE = 0.2526 | LCC = 0.9503 | SRCC = 0.9511 ]
+INFO:root:Average loss=0.0651847172677517
+INFO:root:
+[Valid][15][UTT][ MSE = 0.2696 | LCC = 0.9519 | SRCC = 0.9531 ]
+INFO:root:Average loss=0.06216874983906746
+INFO:root:
+[Valid][16][UTT][ MSE = 0.2323 | LCC = 0.9512 | SRCC = 0.9515 ]
+INFO:root:Average loss=0.060111724704504016
+INFO:root:
+[Valid][17][UTT][ MSE = 0.2470 | LCC = 0.9515 | SRCC = 0.9522 ]
+INFO:root:Average loss=0.05752545544505119
+INFO:root:
+[Valid][18][UTT][ MSE = 0.2233 | LCC = 0.9502 | SRCC = 0.9506 ]
+INFO:root:Average loss=0.054164391249418256
+INFO:root:
+[Valid][19][UTT][ MSE = 0.2539 | LCC = 0.9516 | SRCC = 0.9518 ]
+INFO:root:Average loss=0.05406114858388901
+INFO:root:
+[Valid][20][UTT][ MSE = 0.2350 | LCC = 0.9499 | SRCC = 0.9501 ]
+INFO:root:Average loss=0.04988529220223427
+INFO:root:
+[Valid][21][UTT][ MSE = 0.2402 | LCC = 0.9522 | SRCC = 0.9524 ]
+INFO:root:Average loss=0.049524497970938684
+INFO:root:
+[Valid][22][UTT][ MSE = 0.2119 | LCC = 0.9504 | SRCC = 0.9500 ]
+INFO:root:Average loss=0.04755089159309864
+INFO:root:
+[Valid][23][UTT][ MSE = 0.2357 | LCC = 0.9505 | SRCC = 0.9507 ]
+INFO:root:Average loss=0.049214191526174546
+INFO:root:
+[Valid][24][UTT][ MSE = 0.2293 | LCC = 0.9502 | SRCC = 0.9507 ]
+INFO:root:Average loss=0.041894044518470765
+INFO:root:
+[Valid][25][UTT][ MSE = 0.2458 | LCC = 0.9504 | SRCC = 0.9506 ]
+INFO:root:Average loss=0.04419856537878513
+INFO:root:
+[Valid][26][UTT][ MSE = 0.2226 | LCC = 0.9466 | SRCC = 0.9485 ]
+INFO:root:Average loss=0.04247891448438167
+INFO:root:
+[Valid][27][UTT][ MSE = 0.2229 | LCC = 0.9506 | SRCC = 0.9512 ]
+INFO:root:Average loss=0.03791192159056664
+INFO:root:
+[Valid][28][UTT][ MSE = 0.2486 | LCC = 0.9498 | SRCC = 0.9497 ]
+INFO:root:Average loss=0.03818085719645024
+INFO:root:
+[Valid][29][UTT][ MSE = 0.2401 | LCC = 0.9512 | SRCC = 0.9511 ]
+INFO:root:Average loss=0.038293611511588097
+INFO:root:
+[Valid][30][UTT][ MSE = 0.2612 | LCC = 0.9513 | SRCC = 0.9516 ]
+INFO:root:
+[Test][31][UTT][ MSE = 0.2435 | LCC = 0.9570 | SRCC = 0.9577 ]

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run0/config.gin

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+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run0/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run0/model_best.pt

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+size 2749638

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run0/train.log

@@ -0,0 +1,99 @@
+INFO:root:Num train speech clips: 8000
+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.2643887835144997
+INFO:root:
+[Valid][0][UTT][ MSE = 0.3094 | LCC = 0.9440 | SRCC = 0.9447 ]
+INFO:root:Average loss=0.15209648257493974
+INFO:root:
+[Valid][1][UTT][ MSE = 0.3404 | LCC = 0.9483 | SRCC = 0.9513 ]
+INFO:root:Average loss=0.1471015113592148
+INFO:root:
+[Valid][2][UTT][ MSE = 0.3040 | LCC = 0.9468 | SRCC = 0.9516 ]
+INFO:root:Average loss=0.1323102250099182
+INFO:root:
+[Valid][3][UTT][ MSE = 0.2782 | LCC = 0.9522 | SRCC = 0.9538 ]
+INFO:root:Average loss=0.12497154897451401
+INFO:root:
+[Valid][4][UTT][ MSE = 0.2780 | LCC = 0.9537 | SRCC = 0.9554 ]
+INFO:root:Average loss=0.11814970993995666
+INFO:root:
+[Valid][5][UTT][ MSE = 0.2454 | LCC = 0.9534 | SRCC = 0.9546 ]
+INFO:root:Average loss=0.11078637543320656
+INFO:root:
+[Valid][6][UTT][ MSE = 0.2661 | LCC = 0.9556 | SRCC = 0.9565 ]
+INFO:root:Average loss=0.10746057599782943
+INFO:root:
+[Valid][7][UTT][ MSE = 0.2373 | LCC = 0.9537 | SRCC = 0.9545 ]
+INFO:root:Average loss=0.10262392756342888
+INFO:root:
+[Valid][8][UTT][ MSE = 0.2999 | LCC = 0.9517 | SRCC = 0.9563 ]
+INFO:root:Average loss=0.09686324653029442
+INFO:root:
+[Valid][9][UTT][ MSE = 0.2737 | LCC = 0.9547 | SRCC = 0.9567 ]
+INFO:root:Average loss=0.09586338269710541
+INFO:root:
+[Valid][10][UTT][ MSE = 0.2830 | LCC = 0.9538 | SRCC = 0.9563 ]
+INFO:root:Average loss=0.09195797774195671
+INFO:root:
+[Valid][11][UTT][ MSE = 0.2423 | LCC = 0.9536 | SRCC = 0.9551 ]
+INFO:root:Average loss=0.08743238776922226
+INFO:root:
+[Valid][12][UTT][ MSE = 0.2045 | LCC = 0.9542 | SRCC = 0.9556 ]
+INFO:root:Average loss=0.08554857432842254
+INFO:root:
+[Valid][13][UTT][ MSE = 0.2326 | LCC = 0.9543 | SRCC = 0.9556 ]
+INFO:root:Average loss=0.07868711110949517
+INFO:root:
+[Valid][14][UTT][ MSE = 0.2412 | LCC = 0.9551 | SRCC = 0.9565 ]
+INFO:root:Average loss=0.0777136842161417
+INFO:root:
+[Valid][15][UTT][ MSE = 0.2408 | LCC = 0.9543 | SRCC = 0.9561 ]
+INFO:root:Average loss=0.07643036261200904
+INFO:root:
+[Valid][16][UTT][ MSE = 0.2371 | LCC = 0.9534 | SRCC = 0.9552 ]
+INFO:root:Average loss=0.07087941110134124
+INFO:root:
+[Valid][17][UTT][ MSE = 0.2443 | LCC = 0.9536 | SRCC = 0.9558 ]
+INFO:root:Average loss=0.06986983054876328
+INFO:root:
+[Valid][18][UTT][ MSE = 0.2476 | LCC = 0.9523 | SRCC = 0.9541 ]
+INFO:root:Average loss=0.06962108200788499
+INFO:root:
+[Valid][19][UTT][ MSE = 0.2576 | LCC = 0.9532 | SRCC = 0.9550 ]
+INFO:root:Average loss=0.06530544376373291
+INFO:root:
+[Valid][20][UTT][ MSE = 0.2527 | LCC = 0.9500 | SRCC = 0.9541 ]
+INFO:root:Average loss=0.0658346388041973
+INFO:root:
+[Valid][21][UTT][ MSE = 0.2557 | LCC = 0.9547 | SRCC = 0.9559 ]
+INFO:root:Average loss=0.061780412048101425
+INFO:root:
+[Valid][22][UTT][ MSE = 0.2608 | LCC = 0.9522 | SRCC = 0.9544 ]
+INFO:root:Average loss=0.06152717676758766
+INFO:root:
+[Valid][23][UTT][ MSE = 0.2513 | LCC = 0.9550 | SRCC = 0.9567 ]
+INFO:root:Average loss=0.05674107101559639
+INFO:root:
+[Valid][24][UTT][ MSE = 0.2171 | LCC = 0.9555 | SRCC = 0.9569 ]
+INFO:root:Average loss=0.056690789088606836
+INFO:root:
+[Valid][25][UTT][ MSE = 0.2456 | LCC = 0.9528 | SRCC = 0.9560 ]
+INFO:root:Average loss=0.05337488076090813
+INFO:root:
+[Valid][26][UTT][ MSE = 0.2226 | LCC = 0.9559 | SRCC = 0.9565 ]
+INFO:root:Average loss=0.053207191333174704
+INFO:root:
+[Valid][27][UTT][ MSE = 0.2376 | LCC = 0.9554 | SRCC = 0.9561 ]
+INFO:root:Average loss=0.05314134572446346
+INFO:root:
+[Valid][28][UTT][ MSE = 0.2280 | LCC = 0.9535 | SRCC = 0.9545 ]
+INFO:root:Average loss=0.049159225195646285
+INFO:root:
+[Valid][29][UTT][ MSE = 0.2597 | LCC = 0.9551 | SRCC = 0.9559 ]
+INFO:root:Average loss=0.04762833313643932
+INFO:root:
+[Valid][30][UTT][ MSE = 0.2204 | LCC = 0.9544 | SRCC = 0.9557 ]
+INFO:root:
+[Test][31][UTT][ MSE = 0.2273 | LCC = 0.9575 | SRCC = 0.9584 ]

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run1/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run1/model.pt

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+version https://git-lfs.github.com/spec/v1
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+size 2747979

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run1/model_best.pt

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+size 2749638

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run1/train.log

@@ -0,0 +1,99 @@
+INFO:root:Num train speech clips: 8000
+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.3171239570975304
+INFO:root:
+[Valid][0][UTT][ MSE = 0.2924 | LCC = 0.9446 | SRCC = 0.9454 ]
+INFO:root:Average loss=0.15653070896863938
+INFO:root:
+[Valid][1][UTT][ MSE = 0.2823 | LCC = 0.9489 | SRCC = 0.9499 ]
+INFO:root:Average loss=0.1423161080479622
+INFO:root:
+[Valid][2][UTT][ MSE = 0.2486 | LCC = 0.9526 | SRCC = 0.9534 ]
+INFO:root:Average loss=0.1321745246052742
+INFO:root:
+[Valid][3][UTT][ MSE = 0.2213 | LCC = 0.9529 | SRCC = 0.9548 ]
+INFO:root:Average loss=0.12373455265164375
+INFO:root:
+[Valid][4][UTT][ MSE = 0.2356 | LCC = 0.9529 | SRCC = 0.9557 ]
+INFO:root:Average loss=0.11943410283327102
+INFO:root:
+[Valid][5][UTT][ MSE = 0.2573 | LCC = 0.9550 | SRCC = 0.9566 ]
+INFO:root:Average loss=0.11462236294150352
+INFO:root:
+[Valid][6][UTT][ MSE = 0.2265 | LCC = 0.9559 | SRCC = 0.9575 ]
+INFO:root:Average loss=0.10879905915260316
+INFO:root:
+[Valid][7][UTT][ MSE = 0.2280 | LCC = 0.9579 | SRCC = 0.9585 ]
+INFO:root:Average loss=0.10331451618671417
+INFO:root:
+[Valid][8][UTT][ MSE = 0.2219 | LCC = 0.9568 | SRCC = 0.9582 ]
+INFO:root:Average loss=0.09850653979182243
+INFO:root:
+[Valid][9][UTT][ MSE = 0.1969 | LCC = 0.9533 | SRCC = 0.9574 ]
+INFO:root:Average loss=0.0935852396786213
+INFO:root:
+[Valid][10][UTT][ MSE = 0.2422 | LCC = 0.9552 | SRCC = 0.9570 ]
+INFO:root:Average loss=0.0883585347533226
+INFO:root:
+[Valid][11][UTT][ MSE = 0.2135 | LCC = 0.9565 | SRCC = 0.9581 ]
+INFO:root:Average loss=0.08583607122302056
+INFO:root:
+[Valid][12][UTT][ MSE = 0.2075 | LCC = 0.9558 | SRCC = 0.9581 ]
+INFO:root:Average loss=0.0858364305794239
+INFO:root:
+[Valid][13][UTT][ MSE = 0.2125 | LCC = 0.9560 | SRCC = 0.9588 ]
+INFO:root:Average loss=0.07976125085353851
+INFO:root:
+[Valid][14][UTT][ MSE = 0.2172 | LCC = 0.9555 | SRCC = 0.9578 ]
+INFO:root:Average loss=0.07698456779122352
+INFO:root:
+[Valid][15][UTT][ MSE = 0.2209 | LCC = 0.9558 | SRCC = 0.9576 ]
+INFO:root:Average loss=0.07610254603624343
+INFO:root:
+[Valid][16][UTT][ MSE = 0.2261 | LCC = 0.9569 | SRCC = 0.9579 ]
+INFO:root:Average loss=0.07334489369392395
+INFO:root:
+[Valid][17][UTT][ MSE = 0.2335 | LCC = 0.9570 | SRCC = 0.9581 ]
+INFO:root:Average loss=0.0688693934082985
+INFO:root:
+[Valid][18][UTT][ MSE = 0.2270 | LCC = 0.9573 | SRCC = 0.9578 ]
+INFO:root:Average loss=0.06705460947751998
+INFO:root:
+[Valid][19][UTT][ MSE = 0.2211 | LCC = 0.9569 | SRCC = 0.9587 ]
+INFO:root:Average loss=0.0652158482670784
+INFO:root:
+[Valid][20][UTT][ MSE = 0.2197 | LCC = 0.9569 | SRCC = 0.9578 ]
+INFO:root:Average loss=0.06463800573348999
+INFO:root:
+[Valid][21][UTT][ MSE = 0.2118 | LCC = 0.9567 | SRCC = 0.9580 ]
+INFO:root:Average loss=0.06011798903346062
+INFO:root:
+[Valid][22][UTT][ MSE = 0.2263 | LCC = 0.9568 | SRCC = 0.9574 ]
+INFO:root:Average loss=0.06206829439103603
+INFO:root:
+[Valid][23][UTT][ MSE = 0.2161 | LCC = 0.9562 | SRCC = 0.9574 ]
+INFO:root:Average loss=0.058681390553712846
+INFO:root:
+[Valid][24][UTT][ MSE = 0.2309 | LCC = 0.9566 | SRCC = 0.9573 ]
+INFO:root:Average loss=0.0573929859995842
+INFO:root:
+[Valid][25][UTT][ MSE = 0.2193 | LCC = 0.9564 | SRCC = 0.9582 ]
+INFO:root:Average loss=0.056224782690405845
+INFO:root:
+[Valid][26][UTT][ MSE = 0.2416 | LCC = 0.9565 | SRCC = 0.9576 ]
+INFO:root:Average loss=0.052592512294650076
+INFO:root:
+[Valid][27][UTT][ MSE = 0.2331 | LCC = 0.9555 | SRCC = 0.9569 ]
+INFO:root:Average loss=0.05022702133655548
+INFO:root:
+[Valid][28][UTT][ MSE = 0.1947 | LCC = 0.9569 | SRCC = 0.9576 ]
+INFO:root:Average loss=0.05230195021629334
+INFO:root:
+[Valid][29][UTT][ MSE = 0.2262 | LCC = 0.9571 | SRCC = 0.9576 ]
+INFO:root:Average loss=0.04933633746206761
+INFO:root:
+[Valid][30][UTT][ MSE = 0.2258 | LCC = 0.9567 | SRCC = 0.9572 ]
+INFO:root:
+[Test][31][UTT][ MSE = 0.2295 | LCC = 0.9596 | SRCC = 0.9610 ]

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run2/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run2/model.pt

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+version https://git-lfs.github.com/spec/v1
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+size 2747979

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run2/model_best.pt

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+version https://git-lfs.github.com/spec/v1
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+size 2749702

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run2/train.log

@@ -0,0 +1,99 @@
+INFO:root:Num train speech clips: 8000
+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.26841653913259506
+INFO:root:
+[Valid][0][UTT][ MSE = 0.2955 | LCC = 0.9436 | SRCC = 0.9446 ]
+INFO:root:Average loss=0.15431113177537917
+INFO:root:
+[Valid][1][UTT][ MSE = 0.2764 | LCC = 0.9481 | SRCC = 0.9483 ]
+INFO:root:Average loss=0.14160836082696915
+INFO:root:
+[Valid][2][UTT][ MSE = 0.2723 | LCC = 0.9510 | SRCC = 0.9524 ]
+INFO:root:Average loss=0.13018297028541564
+INFO:root:
+[Valid][3][UTT][ MSE = 0.2987 | LCC = 0.9522 | SRCC = 0.9540 ]
+INFO:root:Average loss=0.12503081279993059
+INFO:root:
+[Valid][4][UTT][ MSE = 0.2471 | LCC = 0.9530 | SRCC = 0.9539 ]
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+[Valid][5][UTT][ MSE = 0.2391 | LCC = 0.9554 | SRCC = 0.9558 ]
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+[Valid][6][UTT][ MSE = 0.2425 | LCC = 0.9555 | SRCC = 0.9561 ]
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+[Valid][7][UTT][ MSE = 0.2207 | LCC = 0.9541 | SRCC = 0.9550 ]
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+[Valid][9][UTT][ MSE = 0.2130 | LCC = 0.9578 | SRCC = 0.9581 ]
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+[Valid][10][UTT][ MSE = 0.2240 | LCC = 0.9564 | SRCC = 0.9565 ]
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+[Valid][11][UTT][ MSE = 0.2296 | LCC = 0.9544 | SRCC = 0.9558 ]
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+[Valid][12][UTT][ MSE = 0.2436 | LCC = 0.9567 | SRCC = 0.9576 ]
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+[Valid][21][UTT][ MSE = 0.2030 | LCC = 0.9557 | SRCC = 0.9562 ]
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+[Valid][24][UTT][ MSE = 0.2260 | LCC = 0.9533 | SRCC = 0.9549 ]
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+[Valid][25][UTT][ MSE = 0.2134 | LCC = 0.9563 | SRCC = 0.9573 ]
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+[Valid][26][UTT][ MSE = 0.1912 | LCC = 0.9572 | SRCC = 0.9576 ]
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+[Valid][27][UTT][ MSE = 0.2091 | LCC = 0.9552 | SRCC = 0.9573 ]
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+[Valid][28][UTT][ MSE = 0.2097 | LCC = 0.9570 | SRCC = 0.9573 ]
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+[Valid][29][UTT][ MSE = 0.2211 | LCC = 0.9581 | SRCC = 0.9578 ]
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+[Valid][30][UTT][ MSE = 0.2200 | LCC = 0.9560 | SRCC = 0.9558 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run3/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run3/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run3/model_best.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run3/train.log

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+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
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+[Valid][0][UTT][ MSE = 0.2907 | LCC = 0.9432 | SRCC = 0.9429 ]
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+[Valid][1][UTT][ MSE = 0.2663 | LCC = 0.9477 | SRCC = 0.9485 ]
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+[Valid][2][UTT][ MSE = 0.2751 | LCC = 0.9508 | SRCC = 0.9516 ]
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+[Valid][3][UTT][ MSE = 0.2705 | LCC = 0.9517 | SRCC = 0.9533 ]
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+[Valid][4][UTT][ MSE = 0.2501 | LCC = 0.9535 | SRCC = 0.9547 ]
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+[Valid][5][UTT][ MSE = 0.2530 | LCC = 0.9543 | SRCC = 0.9548 ]
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+[Valid][7][UTT][ MSE = 0.2855 | LCC = 0.9551 | SRCC = 0.9566 ]
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+[Valid][9][UTT][ MSE = 0.2525 | LCC = 0.9548 | SRCC = 0.9578 ]
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+[Valid][12][UTT][ MSE = 0.2418 | LCC = 0.9566 | SRCC = 0.9573 ]
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+[Valid][13][UTT][ MSE = 0.2460 | LCC = 0.9543 | SRCC = 0.9576 ]
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+[Valid][14][UTT][ MSE = 0.2628 | LCC = 0.9574 | SRCC = 0.9582 ]
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+[Valid][15][UTT][ MSE = 0.2289 | LCC = 0.9530 | SRCC = 0.9543 ]
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+[Valid][16][UTT][ MSE = 0.2324 | LCC = 0.9555 | SRCC = 0.9564 ]
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+[Valid][17][UTT][ MSE = 0.2488 | LCC = 0.9540 | SRCC = 0.9551 ]
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+[Valid][18][UTT][ MSE = 0.2495 | LCC = 0.9547 | SRCC = 0.9554 ]
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+[Valid][19][UTT][ MSE = 0.2706 | LCC = 0.9549 | SRCC = 0.9560 ]
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+[Valid][20][UTT][ MSE = 0.2832 | LCC = 0.9532 | SRCC = 0.9553 ]
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+[Valid][21][UTT][ MSE = 0.2264 | LCC = 0.9505 | SRCC = 0.9539 ]
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+[Valid][26][UTT][ MSE = 0.2291 | LCC = 0.9531 | SRCC = 0.9548 ]
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+[Valid][27][UTT][ MSE = 0.2538 | LCC = 0.9524 | SRCC = 0.9536 ]
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+[Valid][28][UTT][ MSE = 0.2485 | LCC = 0.9527 | SRCC = 0.9538 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run4/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run4/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run4/model_best.pt

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+size 2749638

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer8/run4/train.log

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+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.2738651752471924
+INFO:root:
+[Valid][0][UTT][ MSE = 0.2603 | LCC = 0.9374 | SRCC = 0.9448 ]
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+[Valid][1][UTT][ MSE = 0.2770 | LCC = 0.9467 | SRCC = 0.9483 ]
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+[Valid][3][UTT][ MSE = 0.2658 | LCC = 0.9528 | SRCC = 0.9532 ]
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+[Valid][27][UTT][ MSE = 0.2397 | LCC = 0.9529 | SRCC = 0.9538 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run0/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run0/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run0/train.log

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+INFO:root:Device=cuda
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+[Valid][0][UTT][ MSE = 0.3446 | LCC = 0.9421 | SRCC = 0.9424 ]
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+[Valid][1][UTT][ MSE = 0.2904 | LCC = 0.9492 | SRCC = 0.9497 ]
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+[Valid][27][UTT][ MSE = 0.2330 | LCC = 0.9552 | SRCC = 0.9572 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run1/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run1/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run1/model_best.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run1/train.log

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+INFO:root:Num test speech clips: 1563
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+[Valid][16][UTT][ MSE = 0.2473 | LCC = 0.9553 | SRCC = 0.9551 ]
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+[Valid][19][UTT][ MSE = 0.2736 | LCC = 0.9523 | SRCC = 0.9544 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run2/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run2/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run2/model_best.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run2/train.log

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+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.2678261320590973
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+[Valid][0][UTT][ MSE = 0.3192 | LCC = 0.9413 | SRCC = 0.9445 ]
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+[Valid][27][UTT][ MSE = 0.2437 | LCC = 0.9518 | SRCC = 0.9544 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run3/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run3/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run3/train.log

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+[Valid][19][UTT][ MSE = 0.2335 | LCC = 0.9560 | SRCC = 0.9559 ]
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+[Valid][20][UTT][ MSE = 0.2380 | LCC = 0.9519 | SRCC = 0.9552 ]
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+[Valid][21][UTT][ MSE = 0.2251 | LCC = 0.9558 | SRCC = 0.9565 ]
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+[Valid][23][UTT][ MSE = 0.2320 | LCC = 0.9537 | SRCC = 0.9567 ]
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+[Valid][24][UTT][ MSE = 0.2314 | LCC = 0.9529 | SRCC = 0.9557 ]
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+[Valid][25][UTT][ MSE = 0.2213 | LCC = 0.9555 | SRCC = 0.9560 ]
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+[Valid][26][UTT][ MSE = 0.2357 | LCC = 0.9531 | SRCC = 0.9542 ]
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+[Valid][27][UTT][ MSE = 0.2188 | LCC = 0.9533 | SRCC = 0.9545 ]
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+[Valid][28][UTT][ MSE = 0.2361 | LCC = 0.9562 | SRCC = 0.9567 ]
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+[Valid][29][UTT][ MSE = 0.2105 | LCC = 0.9536 | SRCC = 0.9550 ]
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+[Valid][30][UTT][ MSE = 0.2404 | LCC = 0.9545 | SRCC = 0.9550 ]
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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run4/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run4/model.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run4/model_best.pt

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results_tencent/w2v2_base_tencent_finetuned_6epoch/layer9/run4/train.log

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+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.294742700278759
+INFO:root:
+[Valid][0][UTT][ MSE = 0.2874 | LCC = 0.9441 | SRCC = 0.9444 ]
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+[Valid][1][UTT][ MSE = 0.2777 | LCC = 0.9485 | SRCC = 0.9494 ]
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+[Valid][2][UTT][ MSE = 0.2640 | LCC = 0.9502 | SRCC = 0.9508 ]
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+[Valid][3][UTT][ MSE = 0.2577 | LCC = 0.9512 | SRCC = 0.9511 ]
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+[Valid][4][UTT][ MSE = 0.2366 | LCC = 0.9527 | SRCC = 0.9536 ]
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+[Valid][5][UTT][ MSE = 0.2333 | LCC = 0.9545 | SRCC = 0.9547 ]
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+[Valid][6][UTT][ MSE = 0.2531 | LCC = 0.9535 | SRCC = 0.9548 ]
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+[Valid][7][UTT][ MSE = 0.2677 | LCC = 0.9492 | SRCC = 0.9517 ]
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+[Valid][8][UTT][ MSE = 0.2189 | LCC = 0.9539 | SRCC = 0.9539 ]
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+[Valid][9][UTT][ MSE = 0.1997 | LCC = 0.9528 | SRCC = 0.9547 ]
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+[Valid][11][UTT][ MSE = 0.2427 | LCC = 0.9538 | SRCC = 0.9537 ]
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+[Valid][12][UTT][ MSE = 0.2316 | LCC = 0.9527 | SRCC = 0.9548 ]
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+[Valid][13][UTT][ MSE = 0.2157 | LCC = 0.9555 | SRCC = 0.9560 ]
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+[Valid][14][UTT][ MSE = 0.2407 | LCC = 0.9541 | SRCC = 0.9552 ]
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+[Valid][15][UTT][ MSE = 0.2338 | LCC = 0.9542 | SRCC = 0.9551 ]
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+[Valid][16][UTT][ MSE = 0.2069 | LCC = 0.9514 | SRCC = 0.9556 ]
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+[Valid][17][UTT][ MSE = 0.2254 | LCC = 0.9532 | SRCC = 0.9541 ]
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+[Valid][18][UTT][ MSE = 0.2284 | LCC = 0.9532 | SRCC = 0.9547 ]
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+[Valid][19][UTT][ MSE = 0.2102 | LCC = 0.9539 | SRCC = 0.9559 ]
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+[Valid][20][UTT][ MSE = 0.2074 | LCC = 0.9535 | SRCC = 0.9541 ]
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+[Valid][21][UTT][ MSE = 0.2397 | LCC = 0.9513 | SRCC = 0.9524 ]
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+[Valid][22][UTT][ MSE = 0.2227 | LCC = 0.9544 | SRCC = 0.9553 ]
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+[Valid][24][UTT][ MSE = 0.2066 | LCC = 0.9545 | SRCC = 0.9562 ]
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+[Valid][26][UTT][ MSE = 0.1965 | LCC = 0.9528 | SRCC = 0.9550 ]
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+[Valid][27][UTT][ MSE = 0.2152 | LCC = 0.9529 | SRCC = 0.9539 ]
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+[Valid][28][UTT][ MSE = 0.2012 | LCC = 0.9529 | SRCC = 0.9540 ]
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+[Valid][29][UTT][ MSE = 0.2262 | LCC = 0.9542 | SRCC = 0.9548 ]
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+[Valid][30][UTT][ MSE = 0.2155 | LCC = 0.9543 | SRCC = 0.9550 ]
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results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run0/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run0/model.pt

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results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run0/model_best.pt

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+size 2749638

results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run0/train.log

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+INFO:root:Num val speech clips: 2000
+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.4889287362098694
+INFO:root:
+[Valid][0][UTT][ MSE = 0.3579 | LCC = 0.9016 | SRCC = 0.9052 ]
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+[Valid][1][UTT][ MSE = 0.3131 | LCC = 0.9115 | SRCC = 0.9130 ]
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+[Valid][2][UTT][ MSE = 0.2685 | LCC = 0.9268 | SRCC = 0.9277 ]
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+[Valid][3][UTT][ MSE = 0.2182 | LCC = 0.9357 | SRCC = 0.9380 ]
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+[Valid][4][UTT][ MSE = 0.2343 | LCC = 0.9380 | SRCC = 0.9399 ]
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+[Valid][5][UTT][ MSE = 0.2330 | LCC = 0.9404 | SRCC = 0.9420 ]
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+[Valid][6][UTT][ MSE = 0.1881 | LCC = 0.9433 | SRCC = 0.9468 ]
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+[Valid][7][UTT][ MSE = 0.2022 | LCC = 0.9452 | SRCC = 0.9471 ]
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+[Valid][8][UTT][ MSE = 0.2496 | LCC = 0.9351 | SRCC = 0.9368 ]
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+[Valid][9][UTT][ MSE = 0.2400 | LCC = 0.9415 | SRCC = 0.9449 ]
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+[Valid][12][UTT][ MSE = 0.1998 | LCC = 0.9463 | SRCC = 0.9486 ]
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+[Valid][13][UTT][ MSE = 0.1962 | LCC = 0.9477 | SRCC = 0.9501 ]
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+[Valid][14][UTT][ MSE = 0.1834 | LCC = 0.9502 | SRCC = 0.9511 ]
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+[Valid][15][UTT][ MSE = 0.1710 | LCC = 0.9512 | SRCC = 0.9523 ]
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+[Valid][16][UTT][ MSE = 0.2185 | LCC = 0.9484 | SRCC = 0.9503 ]
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+[Valid][17][UTT][ MSE = 0.2191 | LCC = 0.9465 | SRCC = 0.9506 ]
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+[Valid][18][UTT][ MSE = 0.2027 | LCC = 0.9508 | SRCC = 0.9517 ]
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+[Valid][19][UTT][ MSE = 0.1976 | LCC = 0.9513 | SRCC = 0.9528 ]
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+[Valid][20][UTT][ MSE = 0.2206 | LCC = 0.9500 | SRCC = 0.9513 ]
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+[Valid][21][UTT][ MSE = 0.2064 | LCC = 0.9503 | SRCC = 0.9524 ]
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+[Valid][22][UTT][ MSE = 0.1955 | LCC = 0.9498 | SRCC = 0.9504 ]
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+[Valid][26][UTT][ MSE = 0.2074 | LCC = 0.9526 | SRCC = 0.9549 ]
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+[Valid][27][UTT][ MSE = 0.1925 | LCC = 0.9513 | SRCC = 0.9525 ]
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+[Valid][28][UTT][ MSE = 0.1903 | LCC = 0.9515 | SRCC = 0.9528 ]
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+[Valid][29][UTT][ MSE = 0.1945 | LCC = 0.9500 | SRCC = 0.9521 ]
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+[Valid][30][UTT][ MSE = 0.1697 | LCC = 0.9544 | SRCC = 0.9554 ]
+INFO:root:
+[Test][31][UTT][ MSE = 0.1596 | LCC = 0.9592 | SRCC = 0.9597 ]

results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run1/config.gin

@@ -0,0 +1,31 @@
+# Training config on Tencent dataset.
+
+# ------------------------------
+# Architecture
+# ------------------------------
+ProjectionHead:
+    conv_channels = (32, 32)
+    dense_neurons = (64, 32, 1)
+    use_poolings = (True, True)
+    kernel_size = 5
+    pool_size = 5
+    
+# ------------------------------
+# Dataset
+# ------------------------------
+Tencent:
+    debug = False
+
+get_dataloader:
+    num_workers = 12
+    shuffle = True
+
+# ------------------------------
+# Training loop
+# ------------------------------
+TrainingLoop:
+    num_epochs = 30
+    learning_rate = 1e-4
+    dataset_cls = @Tencent
+    weight_decay = 0.0
+    batch_size_train = 64

results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run1/model.pt

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results_tencent/w2v2_base_tencent_finetuned_7epoch/layer0/run1/train.log

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+INFO:root:Num test speech clips: 1563
+INFO:root:Device=cuda
+INFO:root:Average loss=0.5793448665142059
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+[Valid][0][UTT][ MSE = 0.3286 | LCC = 0.9004 | SRCC = 0.9019 ]
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+[Valid][1][UTT][ MSE = 0.3282 | LCC = 0.9183 | SRCC = 0.9195 ]
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+[Valid][2][UTT][ MSE = 0.2369 | LCC = 0.9255 | SRCC = 0.9282 ]
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+[Valid][3][UTT][ MSE = 0.2563 | LCC = 0.9348 | SRCC = 0.9362 ]
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+[Valid][4][UTT][ MSE = 0.2400 | LCC = 0.9396 | SRCC = 0.9417 ]
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+[Valid][5][UTT][ MSE = 0.2486 | LCC = 0.9395 | SRCC = 0.9414 ]
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+[Valid][6][UTT][ MSE = 0.2458 | LCC = 0.9395 | SRCC = 0.9411 ]
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+[Valid][7][UTT][ MSE = 0.2388 | LCC = 0.9430 | SRCC = 0.9439 ]
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+[Valid][9][UTT][ MSE = 0.2141 | LCC = 0.9483 | SRCC = 0.9493 ]
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+[Valid][12][UTT][ MSE = 0.2171 | LCC = 0.9460 | SRCC = 0.9477 ]
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+[Valid][13][UTT][ MSE = 0.2125 | LCC = 0.9493 | SRCC = 0.9511 ]
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+[Valid][14][UTT][ MSE = 0.2058 | LCC = 0.9469 | SRCC = 0.9483 ]
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+[Valid][15][UTT][ MSE = 0.2070 | LCC = 0.9513 | SRCC = 0.9519 ]
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+[Valid][16][UTT][ MSE = 0.1993 | LCC = 0.9531 | SRCC = 0.9543 ]
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+[Valid][17][UTT][ MSE = 0.2130 | LCC = 0.9504 | SRCC = 0.9509 ]
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+[Valid][18][UTT][ MSE = 0.2047 | LCC = 0.9533 | SRCC = 0.9538 ]
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+[Valid][19][UTT][ MSE = 0.1943 | LCC = 0.9516 | SRCC = 0.9518 ]
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+[Valid][20][UTT][ MSE = 0.1758 | LCC = 0.9530 | SRCC = 0.9536 ]
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+[Valid][21][UTT][ MSE = 0.2151 | LCC = 0.9500 | SRCC = 0.9515 ]
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+[Valid][26][UTT][ MSE = 0.1950 | LCC = 0.9547 | SRCC = 0.9548 ]
+INFO:root:Average loss=0.05721046084165573
+INFO:root:
+[Valid][27][UTT][ MSE = 0.1987 | LCC = 0.9537 | SRCC = 0.9539 ]
+INFO:root:Average loss=0.056446252435445786
+INFO:root:
+[Valid][28][UTT][ MSE = 0.1945 | LCC = 0.9539 | SRCC = 0.9543 ]
+INFO:root:Average loss=0.05399197441339493
+INFO:root:
+[Valid][29][UTT][ MSE = 0.1853 | LCC = 0.9554 | SRCC = 0.9554 ]
+INFO:root:Average loss=0.052263595014810565
+INFO:root:
+[Valid][30][UTT][ MSE = 0.1804 | LCC = 0.9557 | SRCC = 0.9564 ]
+INFO:root:
+[Test][31][UTT][ MSE = 0.1796 | LCC = 0.9589 | SRCC = 0.9598 ]