Clarify Audio-JEPA training differences from the ICME checkpoint

README.md

@@ -46,6 +46,8 @@ weight to the Speech, Music, and Environment category means.
 
 Audio-JEPA scores were supplied by the author for [run `jp6l70l6`](https://wandb.ai/tuncay-ludovic/audio%20embeddings/runs/jp6l70l6). The remaining scores are reported in the [project README](https://github.com/LudovicTuncay/audio-embeddings/blob/bb88bf790b1dcf8251c6b38e7a4766534adf33d3/README.md). These are reported research results, not a new benchmark run of the Transformers exports.
 
+The Audio-JEPA row refers to the newer **16 kHz, 200,000-step** run, not the original ICME model (**32 kHz, 100,000 steps**). The author reports better results for this newer checkpoint.
+
 ## Model and training
 
 | Property | Value |

export_manifest.json

@@ -38,7 +38,7 @@
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