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tiny_llm_hidden2048.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2bca2e08a529c052f0a8867dc6a6096c7c5efeba3e75865238932611fec3c63
+size 17813696

train.py

@@ -14,12 +14,12 @@ idx_to_char = {i: ch for i, ch in enumerate(chars)}
 
 # Model parameters
 input_size = len(chars)
-hidden_size = 512
+hidden_size = 2048
 output_size = len(chars)
 sequence_length = 5
 epochs = 1000
 learning_rate = 0.0001
-model_path = "tiny_llm_hidden512.pth"
+model_path = "tiny_llm_hidden2048.pth"
 
 # Create training data (input-output pairs)
 train_data = []