model trained with regular softmax added

classifier.ckpt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3a8de5f9f298ede6e1e45cd921cf2685708f6570a3f4cc36d859bd08c83a38b
-size 237428
+oid sha256:2b3708b045e2a746e2b388c2cb58e7588ffc155c9ae26cc668076f6eb306334c
+size 525819

embedding_model.ckpt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d5ac3f8cc77e51e714e7827900912e4870a166ab6db4bd6f3668cf1678823b5
+oid sha256:1c923b08c45d40cf87c0479b80fc6545853633a23be0a762b7f0db2beab4b0ce
 size 83310835

hyperparams.yaml

@@ -24,6 +24,7 @@ embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
     channels: [1024, 1024, 1024, 1024, 3072]
     kernel_sizes: [5, 3, 3, 3, 1]
     dilations: [1, 2, 3, 4, 1]
+    groups: [1, 1, 1, 1, 1]
     attention_channels: 128
     lin_neurons: 192