Created guide and script to export embeddings

train.sh

@@ -1,14 +1,14 @@
 #!/bin/sh
 python -m train \
 	--save_checkpoints_every 10 \
-    --experiment_name "basic" \
+    --experiment_name "wlasl" \
     --epochs 300 \
 	--optimizer "ADAM" \
 	--lr 0.0001 \
     --batch_size 16 \
-	--dataset_name "GoogleWLASL" \
-	--training_set_path "spoter_train.csv" \
-	--validation_set_path "spoter_test.csv" \
+	--dataset_name "WLASL" \
+	--training_set_path "WLASL100_train.csv" \
+	--validation_set_path "WLASL100_val.csv" \
 	--vector_length 32 \
 	--epoch_iters -1 \
 	--scheduler_factor 0.2 \