Re-implementation error

[jeonhuhuhu]

Does the problem previously posed as a question(#20) affect performance?

I'm re-training with a newly updated code.

Here, as a question,
I'm using A100 GPUs(4) to perform training,

so I'm wondering if it's the right way to perform training by 8 times less than the A100 GPUs(32) you used.

And, we're training your code countless times without modifying it, but 96.6% like [vsr_trlrs3_23h_base.pth] is not coming out,
only 99.4% is coming out as a result, and I need some advice.

[mpc001]

Hi @jeonhuhuhu, #20 is about training and evaluating an audio-visual model. As mentioned in #20, an error will be raised if the bug is not fixed.

Can you try to fine-tune on full lrs3 based on the model you have? You can pass [vsr_trlrs3_23h_base.pth] or the model you have to pretrained_model_path argument for fine-tuning