Update README.md

README.md

@@ -61,12 +61,12 @@ Trained on Replicate using:
 https://replicate.com/ostris/flux-dev-lora-trainer/train
 
 Via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 50 high-resolution scans of 1910s/1920s posters & artworks by the great Soviet **poet, artist, & Marxist activist Vladimir Mayakovsky**.  <br> 
-For this training experiment, we first spent many days rigorously translating the textual elements (slogans, captions, titles, inset poems, speech fragments, etc), with form/signification/rhymes intact, throughout every image subsequently used for training.  <br> 
+Prior to this training experiment, we first spent many days rigorously translating the textual elements (slogans, captions, titles, inset poems, speech fragments, etc), with form/signification/rhymes intact, throughout every image subsequently used for training.  <br> 
 These translated textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched up to the sources.  <br> 
-For this version of the training, unlike Version 2 (linked below), we used auto-captions, and did not train the text encoder.  <br>
+For the given first version of the training, unlike Version 2 (linked below), we used auto-captions, and did not train the text encoder.  <br>
 This first not-very-successful version of the resultent LoRA (check out V.2 [here](https://huggingface.co/AlekseyCalvin/Mayakovsky_Posters_2_5kSt)) was trained on regular old FLUX.1-Dev. <br> 
-This version of the training went for 1500 steps at a DiT Learning Rate of .0004, batch 3, with the Adamw8bit optimizer!<br> 
-No synthetic data was used for the training! <br> 
+On this run, the training went for mere 1500 steps at a DiT Learning Rate of .0004, batch 3, with the Adamw8bit optimizer!<br> 
+No synthetic data was used <br> 
 
 This is a **rank-32/alpha-32 Constructivist Art & Soviet Satirical Cartoon LoRA for Flux** (whether of a [Dev](https://huggingface.co/black-forest-labs/FLUX.1-dev), a [Schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell), or a [Soon®](https://huggingface.co/AlekseyCalvin/HistoricColorSoonr_Schnell) sort...) <br>