uage model and training the classifier) takes about 5 hours on my workstation with a RTX 3090. The training of the model with FP16 requires less than 8 GB VRAM - so you can train the model on affordable GPUs.</p>
<p>I also saw this paper on the roadmap for fast.ai 2.3 <a href="https://arxiv.org/abs/1911.11423">Single Headed Attention RNN: Stop Thinking With Your Head</a> which could improve the performance further.</p>
<p>This Repo is based on:</p>
<ul>
<li><a href="https://github.com/fastai/fastai">https:/