Update train.py

train.py

@@ -9,11 +9,11 @@ from tokenizers import ByteLevelBPETokenizer
 
 MAX_SEQ_LENGTH = 512
 BATCH_SIZE = 128
-EPOCHS = 3
+EPOCHS = 2
 LEARNING_RATE = 2e-2
 FACTOR = 256
 VOCAB_SIZE = 32000
-INPUT_DATASET = "nroggendorff/openhermes"
+INPUT_DATASET = "nroggendorff/elephant"
 OUTPUT_REPO = "smallama"
 FP16 = True
 WARMUP_STEPS = 20
@@ -23,7 +23,7 @@ CLIPPING = 1.0
 PUSH_TO_HUB = True
 
 def load_data():
-    dataset = load_dataset(INPUT_DATASET, split="train").select(range(int(5e+5)))
+    dataset = load_dataset(INPUT_DATASET, split="train").select(range(int(2.5e+6)))
     return dataset
 
 def create_tokenizer(training_corpus):