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, there was no coherence obtained.
 
 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 mistakes. 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 "
 
-Adding a second layer ('n_layer': 2,) did not solve the problem: 
+Adding a second layer to the 6-float model (n_embd': 6, 'n_layer': 2, 'n_head': 1, 'n_inner': 64,) did solve the glitch, after almost 60,000 epochs: 
 Epoch 22361/100000, Loss: 0.0054
            LOSS IS BELOW 0.01
 Epoch 22362/100000, Loss: 0.0033
@@ -21,7 +21,67 @@ Epoch 26653/100000, Loss: 0.0024
 Epoch 26654/100000, Loss: 0.0034
            LOSS IS BELOW 0.01
 
-           
+Epoch 35255/100000, Loss: 0.0017
+           LOSS IS BELOW 0.01
+Epoch 35256/100000, Loss: 0.0018
+           LOSS IS BELOW 0.01
+Epoch 35257/100000, Loss: 0.0015
+           LOSS IS BELOW 0.01
+Epoch 35258/100000, Loss: 0.0024
+           LOSS IS BELOW 0.01
+Epoch 35259/100000, Loss: 0.0021
+           LOSS IS BELOW 0.01
+Epoch 35260/100000, Loss: 0.0042
+           LOSS IS BELOW 0.01
+
+Epoch 44408/100000, Loss: 0.0015
+           LOSS IS BELOW 0.01
+                                                                             Learning rate reduced to 0.000034
+Epoch 44408/100000, Loss: 0.0015, Learning Rate: 0.000034
+Epoch 44409/100000, Loss: 0.0014
+           LOSS IS BELOW 0.01
+Epoch 44410/100000, Loss: 0.0065
+           LOSS IS BELOW 0.01
+Epoch 44411/100000, Loss: 0.0028
+
+
+Epoch 55978/100000, Loss: 0.0016
+           LOSS IS BELOW 0.01
+Epoch 55979/100000, Loss: 0.0020
+           LOSS IS BELOW 0.01
+                                                                             Learning rate reduced to 0.000011
+Epoch 55979/100000, Loss: 0.0020, Learning Rate: 0.000011
+Epoch 55980/100000, Loss: 0.0016
+           LOSS IS BELOW 0.01
+Epoch 55981/100000, Loss: 0.0014
+           LOSS IS BELOW 0.01
+
+
+Epoch 58992/100000, Loss: 0.0014
+           LOSS IS BELOW 0.01
+Epoch 58993/100000, Loss: 0.0030
+           LOSS IS BELOW 0.01
+Epoch 58994/100000, Loss: 0.0014
+           LOSS IS BELOW 0.01
+Epoch 58995/100000, Loss: 0.0010
+           LOSS IS BELOW 0.01
+                               LOSS IS BELOW 0.001
+Early stopping: Average loss 0.0010 is below the threshold (0.001).
+
+# --- Inference Examples --- at script line 431
+# Example 1: Recite the Gettysburg Address at script line 435
+Prompt: four score
+
+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 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 live . it is altogether fitting and proper that we should do this . but , in a larger sense , we can not dedicate - we can not consecrate - we can not hallow - this ground . the brave men , living and dead , who struggled here , have consecrated it , far above our poor power to add or detract . the world will little note , nor long remember what we say here , but it can never forget what they did here . it is for us the living , rather , to be dedicated here to the unfinished work which they who fought here have thus far so nobly advanced . it is rather for us to be here dedicated to the great task remaining before us - that from these honored dead we take increased devotion to that cause for which they gave the last full measure of devotion - that we here highly resolve that these dead shall not have died in vain - that this nation , under god , shall have a new birth of freedom - and that government of the people , by the people , for the people , shall not perish from the earth . apple blossom cantaloupe durian elderberry fig guava honeydew iguana iguana iguana iguana iguana iguana iguana iguana iguana measure god apple . we we we we we we we
+
+# Example 2: Free text generation after encountering <FreetheLLM> at script line 445
+Prompt: we here highly resolve that these dead shall not have died in vain and that this nation under god shall have a new <FreetheLLM>
+
+Freestyle Generation:
+ we here highly resolve that these dead shall not have died in vain and that this nation under god shall have a new <pad> <pad> <pad> vain to to 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 live . it is altogether fitting and proper that we should do this . but , in a larger sense , we can not
+HyperParamters = {'vocab_size': 170, 'special_tokens': ['<FreetheLLM>', '<cr>', '<pad>'], 'n_embd': 6, 'n_layer': 2, 'n_head': 1, 'n_inner': 64, 'max_sequence_len': 340, 'epochs': 100000, 'learning_rate': 0.001, 'batch_size': 16, 'dropout': 0.2}
+
 
 #################################### n_embd': 6, 'n_layer': 1, 'n_head': 1, 'n_inner': 64,  ###############################################
 Epoch 99983/100000, Loss: 0.0474