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authorAUTOMATIC1111 <16777216c@gmail.com>2023-01-12 19:05:10 +0000
committerGitHub <noreply@github.com>2023-01-12 19:05:10 +0000
commitd7aec59c4eb02f723b3d55c6f927a42e97acd679 (patch)
tree981d40b68c13538aae93dc02bb8d19412aa7d266 /javascript/hints.js
parent6ffefdcc9f47b66cbc543690d97cbf8327f4ba58 (diff)
parentd48dcbd2b29eab492d53d78f482356d78e5beb19 (diff)
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Merge pull request #6667 from Shondoit/zero-vector-ti
Allow creation of zero vectors for TI
Diffstat (limited to 'javascript/hints.js')
-rw-r--r--javascript/hints.js1
1 files changed, 1 insertions, 0 deletions
diff --git a/javascript/hints.js b/javascript/hints.js
index 856e1389..244bfde2 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -92,6 +92,7 @@ titles = {
"Weighted sum": "Result = A * (1 - M) + B * M",
"Add difference": "Result = A + (B - C) * M",
+ "Initialization text": "If the number of tokens is more than the number of vectors, some may be skipped.\nLeave the textbox empty to start with zeroed out vectors",
"Learning rate": "How fast should training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
"Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc.",