try finetuning encoder-decoder model like t5gemmaHEADmaster

Unfortunately once it finishes the finetuning process, it doesn't
actually output anything. With decoder-only models like small gemma3, it
also doesn't output anything meaningful. I'm tempted to just classify
each token as an ad or not, finetune an encoder like some long-context
BERT, and then a post-processing script to convert back to tokens and
their timestamps. May end up being more performant and efficient too...

1 files changed, 1 insertions, 1 deletions

diff --git a/.gitignore b/.gitignore
index 6ade941..252715e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,7 @@
 venv
 *~
-.*
 *.mp3
 *.wav
 *.json
 *.jsonl
+*/