steve329/test_fine_llama3_qlora_all_7

train set

TRAIN_DATASET = "angie-chen55/python-github-code" TRAIN_BASE_MODEL = "meta-llama/Llama-3.2-1B"

TRAIN_MODEL_HUB_NAME = "steve329" TRAIN_TUNED_MODEL_NAME = "test_fine_llama3_qlora_all_7" TRAIN_PEFT_LAYERS = "q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj" TRAIN_LORA_ALPHA = 16 TRAIN_LORA_DROPOUT = 0.05 TRAIN_LORA_R = 8

TRAIN_SAMPLES = 5000 TRAIN_VAL_SAMPLES = 250 TRAIN_SEQ_LEN = 1024 TRAIN_MAX_STEPS = 1200 TRAIN_VAL_STEPS = 80 TRAIN_SAVE_STEPS = 1000 TRAIN_LOG_STEPS = 10 TRAIN_TRAIN_BSIZE = 1 TRAIN_VAL_BSIZE = 1 TRAIN_LR = 1e-5 TRAIN_LR_TYPE = "cosine" TRAIN_WARMUP_STEPS = 0 TRAIN_FP16 = True TRAIN_BF16 = False TRAIN_ACCU_STEPS = 1 TRAIN_WEIGHT_DECAY = 0.01

test set

TEST_NUM_SAMPLES_PER_TASK = 15 TEST_NUM_TASK_IDS = 50 TEST_MAX_NEW_TOEKNS = 512

TEST_TEMPERATURE = 0.2 TEST_TOP_K = 50 TEST_TOP_P = 0.95 TEST_DO_SAMPLE = True TEST_REPETITION_PENALTY = 1.0

--- tuning --- trainable params: 5,636,096 || all params: 1,241,450,496 || trainable%: 0.4540 Resolving data files: 100%|███████████████████████████████████████████| 108/108 [00:00<00:00, 400.68it/s] max_steps is given, it will override any value given in num_train_epochs 0%| | 0/1200 [00:00<?, ?it/s]The input hidden states seems to be silently casted in float32, this might be related to the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in torch.float16. {'loss': 1.2925, 'grad_norm': 0.6555778384208679, 'learning_rate': 9.998286624877786e-06, 'epoch': 0.01} {'loss': 1.5304, 'grad_norm': 0.8546385765075684, 'learning_rate': 9.993147673772869e-06, 'epoch': 0.02} {'loss': 1.4818, 'grad_norm': 0.7580430507659912, 'learning_rate': 9.984586668665641e-06, 'epoch': 0.03} {'loss': 1.4858, 'grad_norm': 0.8087210655212402, 'learning_rate': 9.972609476841368e-06, 'epoch': 0.03} {'loss': 1.365, 'grad_norm': 0.668307363986969, 'learning_rate': 9.957224306869053e-06, 'epoch': 0.04}
{'loss': 1.5286, 'grad_norm': 0.8724182844161987, 'learning_rate': 9.938441702975689e-06, 'epoch': 0.05} {'loss': 1.5563, 'grad_norm': 0.5869552493095398, 'learning_rate': 9.916274537819774e-06, 'epoch': 0.06} {'loss': 1.2979, 'grad_norm': 0.8597727417945862, 'learning_rate': 9.890738003669029e-06, 'epoch': 0.07} {'eval_loss': 1.3621528148651123, 'eval_runtime': 166.1509, 'eval_samples_per_second': 3.449, 'eval_steps_per_second': 3.449, 'epoch': 0.07} {'loss': 1.7059, 'grad_norm': 0.9398770928382874, 'learning_rate': 9.861849601988384e-06, 'epoch': 0.07} {'loss': 1.5394, 'grad_norm': 0.8774957060813904, 'learning_rate': 9.829629131445342e-06, 'epoch': 0.08} {'loss': 1.5158, 'grad_norm': 0.8455575704574585, 'learning_rate': 9.794098674340966e-06, 'epoch': 0.09} {'loss': 1.0623, 'grad_norm': 0.7278249263763428, 'learning_rate': 9.755282581475769e-06, 'epoch': 0.1}
{'loss': 1.5046, 'grad_norm': 1.7426875829696655, 'learning_rate': 9.713207455460893e-06, 'epoch': 0.11} {'loss': 1.2302, 'grad_norm': 0.8249136805534363, 'learning_rate': 9.667902132486009e-06, 'epoch': 0.12} {'loss': 1.6462, 'grad_norm': 1.044198989868164, 'learning_rate': 9.619397662556434e-06, 'epoch': 0.12}
{'loss': 1.7248, 'grad_norm': 0.9166670441627502, 'learning_rate': 9.567727288213005e-06, 'epoch': 0.13} {'eval_loss': 1.3530688285827637, 'eval_runtime': 166.8718, 'eval_samples_per_second': 3.434, 'eval_steps_per_second': 3.434, 'epoch': 0.13} {'loss': 1.5593, 'grad_norm': 1.1306487321853638, 'learning_rate': 9.512926421749305e-06, 'epoch': 0.14} {'loss': 1.3793, 'grad_norm': 1.521423101425171, 'learning_rate': 9.45503262094184e-06, 'epoch': 0.15}
{'loss': 1.3946, 'grad_norm': 0.8901950716972351, 'learning_rate': 9.394085563309827e-06, 'epoch': 0.16} {'loss': 1.1316, 'grad_norm': 0.9611344933509827, 'learning_rate': 9.330127018922195e-06, 'epoch': 0.17} {'loss': 1.4999, 'grad_norm': 0.9895099401473999, 'learning_rate': 9.263200821770462e-06, 'epoch': 0.17} {'loss': 1.3442, 'grad_norm': 0.9981682896614075, 'learning_rate': 9.193352839727122e-06, 'epoch': 0.18} {'loss': 1.3114, 'grad_norm': 1.0121331214904785, 'learning_rate': 9.120630943110078e-06, 'epoch': 0.19} {'loss': 1.3136, 'grad_norm': 1.0117032527923584, 'learning_rate': 9.045084971874738e-06, 'epoch': 0.2}
{'eval_loss': 1.346709966659546, 'eval_runtime': 166.4293, 'eval_samples_per_second': 3.443, 'eval_steps_per_second': 3.443, 'epoch': 0.2} {'loss': 1.3559, 'grad_norm': 2.3755764961242676, 'learning_rate': 8.966766701456177e-06, 'epoch': 0.21} {'loss': 1.209, 'grad_norm': 0.98636394739151, 'learning_rate': 8.885729807284855e-06, 'epoch': 0.22}
{'loss': 1.3446, 'grad_norm': 1.3307329416275024, 'learning_rate': 8.802029828000157e-06, 'epoch': 0.23} {'loss': 1.2605, 'grad_norm': 0.8003533482551575, 'learning_rate': 8.715724127386971e-06, 'epoch': 0.23} {'loss': 1.2209, 'grad_norm': 0.99559485912323, 'learning_rate': 8.626871855061438e-06, 'epoch': 0.24}
{'loss': 1.3953, 'grad_norm': 1.1494324207305908, 'learning_rate': 8.535533905932739e-06, 'epoch': 0.25} {'loss': 1.3805, 'grad_norm': 1.0891047716140747, 'learning_rate': 8.44177287846877e-06, 'epoch': 0.26}
{'loss': 1.48, 'grad_norm': 1.145277976989746, 'learning_rate': 8.345653031794292e-06, 'epoch': 0.27}
{'eval_loss': 1.3417248725891113, 'eval_runtime': 166.8068, 'eval_samples_per_second': 3.435, 'eval_steps_per_second': 3.435, 'epoch': 0.27} {'loss': 1.398, 'grad_norm': 1.0213351249694824, 'learning_rate': 8.247240241650918e-06, 'epoch': 0.28}
{'loss': 1.5404, 'grad_norm': 1.088975429534912, 'learning_rate': 8.146601955249187e-06, 'epoch': 0.28}
{'loss': 1.2308, 'grad_norm': 1.4131255149841309, 'learning_rate': 8.043807145043604e-06, 'epoch': 0.29} {'loss': 1.4368, 'grad_norm': 1.3954739570617676, 'learning_rate': 7.938926261462366e-06, 'epoch': 0.3}
{'loss': 1.3801, 'grad_norm': 1.317599892616272, 'learning_rate': 7.832031184624165e-06, 'epoch': 0.31}
{'loss': 1.4205, 'grad_norm': 1.0833520889282227, 'learning_rate': 7.723195175075136e-06, 'epoch': 0.32} {'loss': 1.3659, 'grad_norm': 1.118585467338562, 'learning_rate': 7.612492823579744e-06, 'epoch': 0.33}
{'loss': 1.5178, 'grad_norm': 1.1180721521377563, 'learning_rate': 7.500000000000001e-06, 'epoch': 0.33} {'eval_loss': 1.3384201526641846, 'eval_runtime': 167.0725, 'eval_samples_per_second': 3.43, 'eval_steps_per_second': 3.43, 'epoch': 0.33} {'loss': 1.5222, 'grad_norm': 0.9835115671157837, 'learning_rate': 7.3857938012980425e-06, 'epoch': 0.34} {'loss': 1.349, 'grad_norm': 0.8385874032974243, 'learning_rate': 7.269952498697734e-06, 'epoch': 0.35}
{'loss': 1.2585, 'grad_norm': 0.7762739658355713, 'learning_rate': 7.1525554840414765e-06, 'epoch': 0.36} {'loss': 0.666, 'grad_norm': 0.9964519739151001, 'learning_rate': 7.033683215379002e-06, 'epoch': 0.37}
37%|████████████████████████ | 445/1200 [20:14<10:46, 1.17it/s]Token indices sequence length is longer than the specified maximum sequence length for this model (272292 > 131072). Running this sequence through the model will result in indexing errors {'loss': 1.1939, 'grad_norm': 0.9662719964981079, 'learning_rate': 6.913417161825449e-06, 'epoch': 0.38} {'loss': 1.7674, 'grad_norm': 0.928888201713562, 'learning_rate': 6.7918397477265e-06, 'epoch': 0.38}
{'loss': 1.6953, 'grad_norm': 0.9261885285377502, 'learning_rate': 6.669034296168855e-06, 'epoch': 0.39} {'loss': 1.6957, 'grad_norm': 0.896446943283081, 'learning_rate': 6.545084971874738e-06, 'epoch': 0.4}
{'eval_loss': 1.3380820751190186, 'eval_runtime': 166.5377, 'eval_samples_per_second': 3.441, 'eval_steps_per_second': 3.441, 'epoch': 0.4} {'loss': 1.7077, 'grad_norm': 0.8276058435440063, 'learning_rate': 6.420076723519615e-06, 'epoch': 0.41} {'loss': 1.6604, 'grad_norm': 1.1022154092788696, 'learning_rate': 6.294095225512604e-06, 'epoch': 0.42} {'loss': 1.6787, 'grad_norm': 0.9744248390197754, 'learning_rate': 6.1672268192795285e-06, 'epoch': 0.42} {'loss': 1.6387, 'grad_norm': 0.9200438261032104, 'learning_rate': 6.039558454088796e-06, 'epoch': 0.43} {'loss': 1.6655, 'grad_norm': 0.8796314001083374, 'learning_rate': 5.911177627460739e-06, 'epoch': 0.44} {'loss': 1.6385, 'grad_norm': 1.1818307638168335, 'learning_rate': 5.782172325201155e-06, 'epoch': 0.45} {'loss': 1.7233, 'grad_norm': 1.2186706066131592, 'learning_rate': 5.65263096110026e-06, 'epoch': 0.46}
{'loss': 1.7375, 'grad_norm': 1.024654507637024, 'learning_rate': 5.522642316338268e-06, 'epoch': 0.47}
{'eval_loss': 1.3414212465286255, 'eval_runtime': 166.4493, 'eval_samples_per_second': 3.442, 'eval_steps_per_second': 3.442, 'epoch': 0.47} {'loss': 1.7259, 'grad_norm': 1.0963331460952759, 'learning_rate': 5.392295478639226e-06, 'epoch': 0.47} {'loss': 1.7211, 'grad_norm': 1.0060495138168335, 'learning_rate': 5.2616797812147205e-06, 'epoch': 0.48} {'loss': 1.6977, 'grad_norm': 0.9834098219871521, 'learning_rate': 5.130884741539367e-06, 'epoch': 0.49} {'loss': 1.7199, 'grad_norm': 1.2639120817184448, 'learning_rate': 5e-06, 'epoch': 0.5}
{'loss': 1.6415, 'grad_norm': 1.2595736980438232, 'learning_rate': 4.869115258460636e-06, 'epoch': 0.51} {'loss': 1.6914, 'grad_norm': 1.2806637287139893, 'learning_rate': 4.738320218785281e-06, 'epoch': 0.52} {'loss': 1.6718, 'grad_norm': 1.2325680255889893, 'learning_rate': 4.6077045213607765e-06, 'epoch': 0.53} {'loss': 1.6827, 'grad_norm': 1.1080881357192993, 'learning_rate': 4.477357683661734e-06, 'epoch': 0.53} {'eval_loss': 1.3459768295288086, 'eval_runtime': 166.5262, 'eval_samples_per_second': 3.441, 'eval_steps_per_second': 3.441, 'epoch': 0.53} {'loss': 1.6919, 'grad_norm': 1.2045620679855347, 'learning_rate': 4.347369038899744e-06, 'epoch': 0.54} {'loss': 1.6638, 'grad_norm': 1.0583103895187378, 'learning_rate': 4.230759150636049e-06, 'epoch': 0.55} {'loss': 1.6103, 'grad_norm': 1.3172162771224976, 'learning_rate': 4.1016962570340375e-06, 'epoch': 0.56} {'loss': 1.6251, 'grad_norm': 1.3447258472442627, 'learning_rate': 3.973249015946182e-06, 'epoch': 0.57} {'loss': 1.6282, 'grad_norm': 1.2206984758377075, 'learning_rate': 3.845505458695438e-06, 'epoch': 0.57} {'loss': 1.5871, 'grad_norm': 1.6077394485473633, 'learning_rate': 3.7185531343350167e-06, 'epoch': 0.58} {'loss': 1.5839, 'grad_norm': 1.105552315711975, 'learning_rate': 3.5924790496466233e-06, 'epoch': 0.59} {'loss': 1.6895, 'grad_norm': 1.6049262285232544, 'learning_rate': 3.4673696095103626e-06, 'epoch': 0.6} {'eval_loss': 1.349403977394104, 'eval_runtime': 166.2095, 'eval_samples_per_second': 3.447, 'eval_steps_per_second': 3.447, 'epoch': 0.6} {'loss': 1.7677, 'grad_norm': 1.2751911878585815, 'learning_rate': 3.3433105576871448e-06, 'epoch': 0.61} {'loss': 1.6491, 'grad_norm': 1.1249381303787231, 'learning_rate': 3.220386918054206e-06, 'epoch': 0.62} {'loss': 1.6353, 'grad_norm': 1.5168108940124512, 'learning_rate': 3.0986829363339766e-06, 'epoch': 0.62} {'loss': 1.3929, 'grad_norm': 1.313550591468811, 'learning_rate': 2.9782820223562758e-06, 'epoch': 0.63} {'loss': 1.3623, 'grad_norm': 2.6660618782043457, 'learning_rate': 2.859266692893386e-06, 'epoch': 0.64} {'loss': 2.0463, 'grad_norm': 1.5598856210708618, 'learning_rate': 2.741718515107172e-06, 'epoch': 0.65} {'loss': 1.0672, 'grad_norm': 1.8408468961715698, 'learning_rate': 2.6257180506470283e-06, 'epoch': 0.66} {'loss': 1.3028, 'grad_norm': 1.6172791719436646, 'learning_rate': 2.5113448004369397e-06, 'epoch': 0.67} {'eval_loss': 1.3427060842514038, 'eval_runtime': 167.057, 'eval_samples_per_second': 3.43, 'eval_steps_per_second': 3.43, 'epoch': 0.67} {'loss': 1.4291, 'grad_norm': 1.5286149978637695, 'learning_rate': 2.39867715018953e-06, 'epoch': 0.68}
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{'eval_loss': 1.3388594388961792, 'eval_runtime': 165.7108, 'eval_samples_per_second': 3.458, 'eval_steps_per_second': 3.458, 'epoch': 0.8} {'loss': 1.8433, 'grad_norm': 1.4228135347366333, 'learning_rate': 8.867974098957016e-07, 'epoch': 0.81} {'loss': 1.9155, 'grad_norm': 1.4317476749420166, 'learning_rate': 8.137908308113058e-07, 'epoch': 0.82} {'loss': 1.8484, 'grad_norm': 1.9369254112243652, 'learning_rate': 7.436532703856575e-07, 'epoch': 0.82} {'loss': 1.0917, 'grad_norm': 1.8946501016616821, 'learning_rate': 6.764327973992252e-07, 'epoch': 0.83} {'loss': 0.9249, 'grad_norm': 1.78310227394104, 'learning_rate': 6.12175481406454e-07, 'epoch': 0.84}
{'loss': 0.9626, 'grad_norm': 2.0840466022491455, 'learning_rate': 5.509253611620019e-07, 'epoch': 0.85} {'loss': 0.9619, 'grad_norm': 2.018683433532715, 'learning_rate': 4.92724414438771e-07, 'epoch': 0.86}
{'loss': 0.9487, 'grad_norm': 1.3101752996444702, 'learning_rate': 4.3761252925844656e-07, 'epoch': 0.87} {'eval_loss': 1.3384125232696533, 'eval_runtime': 166.5312, 'eval_samples_per_second': 3.441, 'eval_steps_per_second': 3.441, 'epoch': 0.87} {'loss': 2.1813, 'grad_norm': 2.0008652210235596, 'learning_rate': 3.8562747655422895e-07, 'epoch': 0.88} {'loss': 2.5343, 'grad_norm': 1.6654351949691772, 'learning_rate': 3.3680488428453005e-07, 'epoch': 0.88} {'loss': 1.4823, 'grad_norm': 1.8480143547058105, 'learning_rate': 2.911782130153484e-07, 'epoch': 0.89} {'loss': 0.9216, 'grad_norm': 1.6502251625061035, 'learning_rate': 2.4877873298807033e-07, 'epoch': 0.9} {'loss': 1.0498, 'grad_norm': 1.3823391199111938, 'learning_rate': 2.096355026884045e-07, 'epoch': 0.91} {'loss': 1.0802, 'grad_norm': 1.466383934020996, 'learning_rate': 1.7377534893115001e-07, 'epoch': 0.92} {'loss': 1.0971, 'grad_norm': 1.5681973695755005, 'learning_rate': 1.4122284847443713e-07, 'epoch': 0.93} {'loss': 1.0772, 'grad_norm': 1.4816951751708984, 'learning_rate': 1.1200031117604704e-07, 'epoch': 0.93} {'eval_loss': 1.338365077972412, 'eval_runtime': 166.1598, 'eval_samples_per_second': 3.448, 'eval_steps_per_second': 3.448, 'epoch': 0.93} {'loss': 1.0856, 'grad_norm': 1.3942521810531616, 'learning_rate': 8.612776470334316e-08, 'epoch': 0.94} {'loss': 1.0931, 'grad_norm': 1.62803053855896, 'learning_rate': 6.362294080731746e-08, 'epoch': 0.95}
{'loss': 1.0737, 'grad_norm': 1.4619779586791992, 'learning_rate': 4.450126317012637e-08, 'epoch': 0.96} {'loss': 1.0926, 'grad_norm': 1.3680267333984375, 'learning_rate': 2.877583683447316e-08, 'epoch': 0.97} {'loss': 1.0868, 'grad_norm': 1.6456063985824585, 'learning_rate': 1.6457439222065662e-08, 'epoch': 0.97} {'loss': 1.0446, 'grad_norm': 1.5694900751113892, 'learning_rate': 7.55451274731034e-09, 'epoch': 0.98}
{'loss': 1.0509, 'grad_norm': 1.4506360292434692, 'learning_rate': 2.073159031301675e-09, 'epoch': 0.99} {'loss': 1.0545, 'grad_norm': 1.3517605066299438, 'learning_rate': 1.7134720076139588e-11, 'epoch': 1.0} {'eval_loss': 1.3383928537368774, 'eval_runtime': 165.9421, 'eval_samples_per_second': 3.453, 'eval_steps_per_second': 3.453, 'epoch': 1.0} {'train_runtime': 3524.9921, 'train_samples_per_second': 0.34, 'train_steps_per_second': 0.34, 'train_tokens_per_second': 348.597, 'train_loss': 1.4365745460987092, 'epoch': 1.0} 100%|████████████████████████████████████████████████████████████████| 1200/1200 [58:44<00:00, 2.94s/it] --- total: 3542.8606696128845 s

--- evaluation --- eval_problem_0 eval_problem_1 eval_problem_2 eval_problem_3 eval_problem_4 eval_problem_5 eval_problem_6 eval_problem_7 eval_problem_8 eval_problem_9 eval_problem_10 eval_problem_11 eval_problem_12 eval_problem_13 eval_problem_14 eval_problem_15 eval_problem_16 eval_problem_17 eval_problem_18 eval_problem_19 eval_problem_20 eval_problem_21 eval_problem_22 eval_problem_23 eval_problem_24 eval_problem_25 eval_problem_26 eval_problem_27 eval_problem_28 eval_problem_29 eval_problem_30 eval_problem_31 eval_problem_32 eval_problem_33 eval_problem_34 eval_problem_35 eval_problem_36 eval_problem_37 eval_problem_38 eval_problem_39 eval_problem_40 eval_problem_41 eval_problem_42 eval_problem_43 eval_problem_44 eval_problem_45 eval_problem_46 eval_problem_47 eval_problem_48 eval_problem_49 --- total: 2808.219149827957 s