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Mel Roformer models

All experiments were made using MUSDB18HQ dataset. All metrics were measured using 'test' set. Training was made using 'train' set.

Experiments table

Average SDR Score Chunk size Depth Dim mlp expansion factor Skip connection Hop size FFT Size Dropout Batch Size DL Checkpoint Comment
5.1235 88200 2 64 1 No 441 2048 0/0 32 (48 GB) Config / Weights
6.4698 88200 4 128 1 No 441 2048 0.1/0.1 28 (80 GB) Config / Weights
6.7022 88200 4 128 1 No 882 4096 0/0 20 (80 GB) Config / Weights
7.8127 88200 6 256 1 Yes 441 2048 0.1/0.1 16 (80 GB) Config / Weights
6.4908 176400 4 128 1 Yes 441 2048 0.1/0.1 8 (48 GB) Config / Weights
6.5224 176400 4 128 2 Yes 441 2048 0.1/0.1 8 (48 GB) Config / Weights
7.0412 352800 4 128 1 No 882 4096 0/0 5 (80 GB) Config / Weights
8.2175 352800 4 256 1 No 441 2048 0/0 5 (80 GB) Config / Weights Trained longer on different strategies. Looks like it a bit overfit in the end
1.0557 352800 4 128 1 No 882 2048 0/0 6 (48 GB) --- Looks like big hop size is not great
6.8652 485100 4 128 1 No 441 2048 0.1/0.1 5 (48 GB) Config / Weights
8.9400* 485100 8 384 4 Yes 882 4096 0/0 2 (80 GB) Config / Weights (part 1, part2) Very big file with weights > 3GB. Continue to increase metrics
  • Note 1: Some models probably undertrained