Обучаю модель классификации жестов руки по данным с EMG датчиков, какой scheduler RL лучше использоват для CNN 

Training Epoch 1: 100%|██████████| 876/876 [00:07<00:00, 119.40it/s]
Epoch 1/20, Loss: 1.4814, Accuracy: 57.46%
Val Loss: 1.8794, Val Acc: 58.95%, Val F1: 0.4862
Training Epoch 2: 100%|██████████| 876/876 [00:06<00:00, 143.62it/s]
Epoch 2/20, Loss: 1.4092, Accuracy: 58.70%
Val Loss: 1.8400, Val Acc: 59.02%, Val F1: 0.4867
Training Epoch 3: 100%|██████████| 876/876 [00:06<00:00, 144.15it/s]
Epoch 3/20, Loss: 1.4020, Accuracy: 58.55%
Val Loss: 1.8510, Val Acc: 59.12%, Val F1: 0.4901
Training Epoch 4: 100%|██████████| 876/876 [00:06<00:00, 142.33it/s]
Epoch 4/20, Loss: 1.3985, Accuracy: 58.26%
Val Loss: 1.8929, Val Acc: 59.02%, Val F1: 0.4895
Training Epoch 5: 100%|██████████| 876/876 [00:06<00:00, 143.15it/s]
Epoch 5/20, Loss: 1.4043, Accuracy: 58.91%
Val Loss: 1.8671, Val Acc: 58.95%, Val F1: 0.4855
Training Epoch 6: 100%|██████████| 876/876 [00:06<00:00, 143.62it/s]
Epoch 6/20, Loss: 1.4000, Accuracy: 59.42%
Val Loss: 1.8725, Val Acc: 58.88%, Val F1: 0.4840
Training Epoch 7: 100%|██████████| 876/876 [00:06<00:00, 142.96it/s]
Epoch 7/20, Loss: 1.3979, Accuracy: 59.08%
Val Loss: 1.7367, Val Acc: 59.29%, Val F1: 0.4937
Training Epoch 8: 100%|██████████| 876/876 [00:06<00:00, 142.26it/s]
Epoch 8/20, Loss: 1.3911, Accuracy: 58.37%
Val Loss: 1.8109, Val Acc: 59.25%, Val F1: 0.4909
Training Epoch 9: 100%|██████████| 876/876 [00:06<00:00, 142.01it/s]
Epoch 9/20, Loss: 1.3897, Accuracy: 58.20%
Val Loss: 2.0042, Val Acc: 58.16%, Val F1: 0.4611
Training Epoch 10: 100%|██████████| 876/876 [00:06<00:00, 142.08it/s]
Epoch 10/20, Loss: 1.3896, Accuracy: 58.20%
Val Loss: 1.8557, Val Acc: 58.51%, Val F1: 0.4723
Training Epoch 11: 100%|██████████| 876/876 [00:06<00:00, 142.59it/s]
Epoch 11/20, Loss: 1.3948, Accuracy: 58.09%
Val Loss: 1.8843, Val Acc: 58.90%, Val F1: 0.4812
Training Epoch 12: 100%|██████████| 876/876 [00:06<00:00, 141.55it/s]
Epoch 12/20, Loss: 1.3909, Accuracy: 57.58%
Val Loss: 1.9530, Val Acc: 58.57%, Val F1: 0.4722
Training Epoch 13: 100%|██████████| 876/876 [00:06<00:00, 142.42it/s]
Epoch 13/20, Loss: 1.3899, Accuracy: 57.58%
Val Loss: 1.9263, Val Acc: 58.75%, Val F1: 0.4770
Training Epoch 14: 100%|██████████| 876/876 [00:06<00:00, 143.40it/s]
Epoch 14/20, Loss: 1.3907, Accuracy: 57.98%
Val Loss: 1.9343, Val Acc: 58.69%, Val F1: 0.4769
Training Epoch 15: 100%|██████████| 876/876 [00:06<00:00, 143.95it/s]
Epoch 15/20, Loss: 1.3889, Accuracy: 57.82%
Val Loss: 1.8318, Val Acc: 59.07%, Val F1: 0.4846
Training Epoch 16: 100%|██████████| 876/876 [00:06<00:00, 145.19it/s]
Epoch 16/20, Loss: 1.3939, Accuracy: 57.75%
Val Loss: 1.8103, Val Acc: 59.24%, Val F1: 0.4889
Training Epoch 17: 100%|██████████| 876/876 [00:06<00:00, 144.64it/s]
Epoch 17/20, Loss: 1.3924, Accuracy: 57.33%
Val Loss: 1.8871, Val Acc: 59.09%, Val F1: 0.4833
Training Epoch 18: 100%|██████████| 876/876 [00:06<00:00, 144.78it/s]
Epoch 18/20, Loss: 1.3983, Accuracy: 57.97%
Val Loss: 1.9983, Val Acc: 58.49%, Val F1: 0.4742
Training Epoch 19: 100%|██████████| 876/876 [00:06<00:00, 145.04it/s]
Epoch 19/20, Loss: 1.3965, Accuracy: 58.13%
Val Loss: 2.0794, Val Acc: 58.74%, Val F1: 0.4711
Training Epoch 20: 100%|██████████| 876/876 [00:06<00:00, 144.16it/s]
Epoch 20/20, Loss: 1.3981, Accuracy: 58.62%
Val Loss: 1.6635, Val Acc: 59.56%, Val F1: 0.4965