model card: verification
Browse files
README.md
CHANGED
|
@@ -35,6 +35,9 @@ Held to upstream's Python with `shifts=0` (random shifts make upstream itself no
|
|
| 35 |
- One training segment through Core AI on the GPU: 136–147 dB PSNR against upstream's output.
|
| 36 |
- Every one of 63 chunks of a 6-minute mix: worst stem 110 dB.
|
| 37 |
- Whole clips end to end (10 s and 6 min): 127–148 dB on every stem.
|
|
|
|
|
|
|
|
|
|
| 38 |
|
| 39 |
## Use
|
| 40 |
|
|
|
|
| 35 |
- One training segment through Core AI on the GPU: 136–147 dB PSNR against upstream's output.
|
| 36 |
- Every one of 63 chunks of a 6-minute mix: worst stem 110 dB.
|
| 37 |
- Whole clips end to end (10 s and 6 min): 127–148 dB on every stem.
|
| 38 |
+
- One measured wrinkle in the runtime, not the model: the GPU returned a slightly wrong segment
|
| 39 |
+
about 2% of the time (77–105 dB), never the same one twice. A correct run is bit-for-bit
|
| 40 |
+
repeatable, so the host runs every segment twice and settles a mismatch with a third run.
|
| 41 |
|
| 42 |
## Use
|
| 43 |
|