Expectation of a die roll summed

The total number of rolls follows a geometric law of parameter $p=\dfrac{4}{6}=\dfrac{2}{3}$. Therefore the expected number of rolls is $1/p=\color{red}{1.5}$.

Therefore the expected total is $(1/p-1)\cdot 1.5 + 4.5=\color{red}{5.25}$, because $1.5$ is the mean of a roll between $1$ and $2$ (and you have an average of $1/p -1$ rolls between $1$ and $2$) and $4.5$ is the mean of the last roll (between $3$ and $6$).

By the way you can easily verify your results for this kind of problem with a simple python code:

import random as random

nb_trials = 10000
tot = 0

for i in range(nb_trials):
    sum_value = 0
    b = True
    while b:
        a = random.randint(1,6)
        if a >=3:
            b = False
        sum_value += a
    tot += sum_value 

average = tot * 1.0 / nb_trials
print(average)

Try it online!

The game will stop after $1$ roll with a probability $2/3$. It will stop after $2$ rolls with a probability $1/3 \times 2/3$. ... It will stop after $n$ rolls with a probability $(1/3)^{n-1} \times 2/3$. So the expected number of rolls is given by the sum \begin{eqnarray*} \sum_{n=1}^{\infty} n \frac{2}{3} \left( \frac{1}{3} \right)^{n-1} = \frac{2}{3} \sum_{n=1}^{\infty} n \left( \frac{1}{3} \right)^{n-1} \end{eqnarray*} Now use the well known formula $\sum_{n=1}^{\infty} n x^{n-1}= \frac{1}{(1-x)^2}$ and we have $3/2$. So you would expect the games to last for one and a half rolls.

You have $p=1/3$ to roll a die and get only $1$ or $2$. So you have $P(n)=p^n q=p^n (1-p)$ to roll the die $n$ times getting less than $3$, and then more or equal $3$ at the $n+1$-th roll.
We include $n=0$, meaning that you get $\ge 3$ at the first roll.

The sum P(n) over $0 \le n < \infty$ correctly gives $1$.

Now, the expected number of less than $3$ rolls will be $$ \eqalign{ & E(n) = \sum\limits_{0\; \le \,n\,} {n\,P(n)} = (1 - p)\sum\limits_{0\; \le \,n\,} {n\,p^{\,n} } = \cr & = (1 - p)p{d \over {dp}}{1 \over {1 - p}} = {p \over {1 - p}} = {1 \over 2} \cr} $$ while the expected number of total rolls, of course is $$ E(n + 1) = {3 \over 2} $$

At each less than $3$ roll you can get, with same probability, a 1 or a 2, thus in average $3/2$.
So espected sum of the rolls before stopping is $3/2E(n)=3/4$.