[+]

README.md

@@ -20,7 +20,7 @@ This model is a POC and shouldn't be used for any production task.
 Based Bert SC is a text classification bot for binary classification of a trading candles opening and closing prices.
 
 ## Uses and limitations
-This model can reliably return the bullish or bearish status of a candle given the opening and closing, high and low in a format shown. 
+This model can reliably return the bullish or bearish status of a candle given the opening, closing, high and low, in a format shown. 
 It will have trouble if the order of the numbers change (even if tags are included).
 
 ### How to use
@@ -31,4 +31,16 @@ You can use this model directly with a pipeline
 >>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
 >>> pipe(text)
 [{'label': 'Bullish', 'score': 0.9999682903289795}]
-```
+```
+
+## Finetuning
+
+This model was fine tuned on an RTX-3060-Mobile
+```
+// BUS_WIDTH = 192
+// CLOCK_RATE = 1750 
+// DDR_MULTI = 8 // DDR6
+// BWTheoretical = (((CLOCK_RATE * (10 ** 6)) * (BUS_WIDTH/8)) * DDR_MULI) / (10 ** 9) 
+// BWTheoretical == 336 GB/s
+```
+Self-measured effective (GB/s): 316.280736