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README.md

@@ -21,10 +21,10 @@ Models are named as follows:
 
 - `CodeBERTa` → `CodeBERTa-ft-coco-[1,2,5]e-05lr`
     - e.g. `CodeBERTa-ft-coco-2e-05lr`, which was trained with learning rate of `2e-05`.
-- `JonBERTa-head` → `JonBERTa-head-ft-(dense-proj-reinit)` 
-    - e.g. `JonBERTa-head-ft-(dense-proj-)`, where all have `2e-05` learning rate, but may differ in the head layer in which the telemetry features are introduced (either `head` or `proj`).
-- `JonBERTa-attn` → `JonBERTa-attn-ft-(0,1,2,3,4,5L)`
-    - e.g. `JonBERTa-attn-ft-(0,1,2L)` , where all have `2e-05` learning rate, but may differ in the attention layer in which the telemetry features are introduced (either `0`, `1`, `2`, `3`, `4`, or `5L`).
+- `JonBERTa-head` → `JonBERTa-head-ft-[dense,proj,reinit]` 
+    - e.g. `JonBERTa-head-ft-dense-proj`, where all have `2e-05` learning rate, but may differ in the head layer in which the telemetry features are introduced (either `head` or `proj`, with optional `reinit`ialisation of all its weights).
+- `JonBERTa-attn` → `JonBERTa-attn-ft-[0,1,2,3,4,5]L`
+    - e.g. `JonBERTa-attn-ft-012L` , where all have `2e-05` learning rate, but may differ in the attention layer(s) in which the telemetry features are introduced (either `0`, `1`, `2`, `3`, `4`, or `5L`).
 
 Other hyperparameters may be found in the paper or the replication package (see below).