From 9f5f70cb2a8919cb07821f264bf0fd75bfa10584 Mon Sep 17 00:00:00 2001
From: Volpeon <git@volpeon.ink>
Date: Sat, 8 Apr 2023 17:38:49 +0200
Subject: Update

---
 train_lora.py | 32 ++++++++++++++++++++++----------
 1 file changed, 22 insertions(+), 10 deletions(-)

(limited to 'train_lora.py')

diff --git a/train_lora.py b/train_lora.py
index 1626be6..e4b5546 100644
--- a/train_lora.py
+++ b/train_lora.py
@@ -92,6 +92,12 @@ def parse_args():
         nargs='*',
         help="A token to use as initializer word."
     )
+    parser.add_argument(
+        "--filter_tokens",
+        type=str,
+        nargs='*',
+        help="Tokens to filter the dataset by."
+    )
     parser.add_argument(
         "--initializer_noise",
         type=float,
@@ -592,6 +598,12 @@ def parse_args():
     if not isinstance(args.alias_tokens, list) or len(args.alias_tokens) % 2 != 0:
         raise ValueError("--alias_tokens must be a list with an even number of items")
 
+    if args.filter_tokens is None:
+        args.filter_tokens = args.placeholder_tokens.copy()
+
+    if isinstance(args.filter_tokens, str):
+        args.filter_tokens = [args.filter_tokens]
+
     if isinstance(args.collection, str):
         args.collection = [args.collection]
 
@@ -890,7 +902,7 @@ def main():
 
         pti_datamodule = create_datamodule(
             batch_size=args.pti_batch_size,
-            filter=partial(keyword_filter, args.placeholder_tokens, args.collection, args.exclude_collections),
+            filter=partial(keyword_filter, args.filter_tokens, args.collection, args.exclude_collections),
         )
         pti_datamodule.setup()
 
@@ -906,7 +918,7 @@ def main():
             pti_optimizer = create_optimizer(
                 [
                     {
-                        "params": text_encoder.text_model.embeddings.token_override_embedding.params.parameters(),
+                        "params": text_encoder.text_model.embeddings.token_override_embedding.parameters(),
                         "lr": args.learning_rate_pti,
                         "weight_decay": 0,
                     },
@@ -937,7 +949,7 @@ def main():
                 sample_frequency=pti_sample_frequency,
             )
 
-            # embeddings.persist()
+            embeddings.persist()
 
     # LORA
     # --------------------------------------------------------------------------------
@@ -962,13 +974,13 @@ def main():
 
     params_to_optimize = []
     group_labels = []
-    if len(args.placeholder_tokens) != 0:
-        params_to_optimize.append({
-            "params": text_encoder.text_model.embeddings.token_override_embedding.params.parameters(),
-            "lr": args.learning_rate_text,
-            "weight_decay": 0,
-        })
-        group_labels.append("emb")
+    # if len(args.placeholder_tokens) != 0:
+    #     params_to_optimize.append({
+    #         "params": text_encoder.text_model.embeddings.token_override_embedding.parameters(),
+    #         "lr": args.learning_rate_text,
+    #         "weight_decay": 0,
+    #     })
+    #     group_labels.append("emb")
     params_to_optimize += [
         {
             "params": (
-- 
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