title: How do we analyse a loss vs epochs graph?
body: <p>I'm training a language model and the loss vs epochs is plotted each time of training. I'm attaching two samples from it. </p>
  
  <p><a href="https://i.stack.imgur.com/LZp7x.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/LZp7x.png" alt="image 1"></a></p>
  
  <p><a href="https://i.stack.imgur.com/DJrhv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/DJrhv.png" alt="image 2"></a></p>
  
  <p>Obviously, the second one is showing better performance. But, from these graphs, when do we take a decision to stop training (early stopping)?</p>
  
  <p>Can we understand overfitting and underfitting from these graphs or do I need to plot additional learning curves?  </p>
  
  <p>What are the additional inferences that can be made from these plots? </p>