Update With one layer, n_layer 1, n_embd 4 is failure. but n_embd 6 is marginal success.

With one layer, n_layer 1, n_embd 4 is failure. but n_embd 6 is marginal success.

@@ -2,7 +2,7 @@ At n_embd': 4, 'n_layer': 1, no coherence in response was obtained.
 Upon adding a second layer, (n_embd': 4, 'n_layer': 2) [Epoch 53525/100000, Loss: 0.1281] and [Epoch 100000/100000, Loss: 0.1256], thus:
 "Response: four score and seven years ago our fathers brought forth on this continent , a new nation , conceived in liberty , and dedicated to the proposition that rather not long should endure the lives above will world a a great civil people full long resolve altogether as battle new fitting"
 
-Four floats of embeddings is apparently quite not enough information to sequence so many different/same words and punctuations with.  (Microsoft reserearchers recently found that in other LLMs that entire attention heads were focused on "punctution")
+Four floats of embeddings is apparently sufficient to support some sequencing, but not quite enough information to sequence so many different/same words and punctuations with.  (Microsoft reserearchers recently found that in other LLMs that entire attention heads were focused on "punctution")
 
 At n_embd': 6, 'n_layer': 1, 'n_head': 1, 'n_inner': 64, the Toy Gettysburg GPT-2 model got a good start with "four score and seven years ago our fathers brought forth on this continent , a new nation , conceived in" before some glitches. But resumed another whole part of the Gettysburg speech: "that all men are created equal . now we are engaged in a great civil war , testing whether that nation , or any nation so conceived and so dedicated , can long endure . we are met on a great battle - field of that war . we have come to dedicate a portion of that field , as a final resting place for those who here gave their lives that that nation might endure "
 
@@ -10,7 +10,7 @@ Adding a second layer to the 6-float model (n_embd': 6, 'n_layer': 2, 'n_head':
 
 The resulting model_checkpoint_early_stop_Gettysburg_GPT2_v1.4.2.1.py_2024-11-29_01-41-39.pth has Size on Disk of only 0.99 MB (1,040,384 bytes)
 
-A Loss BELOW 0.01 is usually sufficient to obtain a Complete Recital of the entire Gettysburg Address.  But, I pushed to epoch loss down to 0.001, whatever that means.
+A Loss BELOW 0.01 is usually sufficient to obtain a Complete Recital of the entire Gettysburg Address.  But, I pushed the (n_embd': 6, 'n_layer': 2) epoch loss down to 0.001, whatever that means.
 
 Epoch 22361/100000, Loss: 0.0054
            LOSS IS BELOW 0.01