--- license: mit pipeline_tag: text-generation library_name: transformers language: [ 'en', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'eo', 'es', 'et', 'eu', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gn', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lg', 'li', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'qu', 'rm', 'ro', 'ru', 'sa', 'si', 'sc', 'sd', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tn', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zu', ] datasets: # core - base - ontocord/fineweb-permissive-multilingual-2m - distily/c4_multilingual_1M - data-silence/sumnews - xu-song/cc100-samples - badrex/llm-emoji-dataset - fblgit/simple-math - Gusarich/math-expressions-1m - neuralwork/arxiver - christopher/rosetta-code - nampdn-ai/tiny-codes - JeanKaddour/minipile # core - instruct - NousResearch/hermes-function-calling-v1 - simplescaling/s1K-1.1 # base - instruct - mlabonne/open-perfectblend - allenai/tulu-3-sft-mixture - rombodawg/Everything_Instruct_Multilingual # base - reason - open-r1/OpenR1-Math-220k - open-thoughts/OpenThoughts-114k - cognitivecomputations/dolphin-r1 - simplescaling/s1K-1.1 tags: - chat - core - base - instruct - reason --- # tangled-alpha-0.9-core ![logo](./misc/logo.jpg) ```bash time python -B prepare_core_datasets.py ``` ``` i=0, min_len=0, max_len=1073741824, block_size=1025, chunk_size=16400000, len(dataset)=5146620, len(dataset) * block_size=5275285500 Total number of tokens in the optimized dataset '../core-data-0-0-1073741824-1025-16000' is 5275285500 i=1, min_len=1025, max_len=2049, block_size=2049, chunk_size=16392000, len(dataset)=309838, len(dataset) * block_size=634858062 Total number of tokens in the optimized dataset '../core-data-1-1025-2049-2049-8000' is 634858062 i=2, min_len=2049, max_len=4097, block_size=4097, chunk_size=16388000, len(dataset)=113843, len(dataset) * block_size=466414771 Total number of tokens in the optimized dataset '../core-data-2-2049-4097-4097-4000' is 466414771 i=3, min_len=4097, max_len=8193, block_size=8193, chunk_size=16386000, len(dataset)=56713, len(dataset) * block_size=464649609 Total number of tokens in the optimized dataset '../core-data-3-4097-8193-8193-2000' is 464649609 i=4, min_len=8193, max_len=16385, block_size=16385, chunk_size=16385000, len(dataset)=37406, len(dataset) * block_size=612897310 Total number of tokens in the optimized dataset '../core-data-4-8193-16385-16385-1000' is 612897310 i=5, min_len=16385, max_len=32769, block_size=32769, chunk_size=16384500, len(dataset)=12737, len(dataset) * block_size=417378753 Total number of tokens in the optimized dataset '../core-data-5-16385-32769-32769-500' is 417378753 i=6, min_len=32769, max_len=65537, block_size=65537, chunk_size=16384250, len(dataset)=2824, len(dataset) * block_size=185076488 Total number of tokens in the optimized dataset '../core-data-6-32769-65537-65537-250' is 185076488 i=7, min_len=65537, max_len=131073, block_size=131073, chunk_size=16384125, len(dataset)=634, len(dataset) * block_size=83100282 Total number of tokens in the optimized dataset '../core-data-7-65537-131073-131073-125' is 83100282 real 292m54.341s user 2118m1.154s sys 12m2.746s 20G tangled-alpha-0.9-core/core-data-0-0-1073741824-1025-16000 2.4G tangled-alpha-0.9-core/core-data-1-1025-2049-2049-8000 1.8G tangled-alpha-0.9-core/core-data-2-2049-4097-4097-4000 1.8G tangled-alpha-0.9-core/core-data-3-4097-8193-8193-2000 2.3G tangled-alpha-0.9-core/core-data-4-8193-16385-16385-1000 1.6G tangled-alpha-0.9-core/core-data-5-16385-32769-32769-500 709M tangled-alpha-0.9-core/core-data-6-32769-65537-65537-250 321M tangled-alpha-0.9-core/core-data-7-65537-131073-131073-125 ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt pretrain --config pretrain_core_model_0.yaml ``` ``` Seed set to 23 Time to instantiate model: 0.44 seconds. Total parameters: 234,914,304 Verifying settings ... Measured TFLOPs: 55520.94 Epoch 1 | iter 64 step 1 | loss train: 11.977, val: n/a | iter time: 490.27 ms (step) remaining time: 6 days, 22:47:04 Epoch 1 | iter 128 step 2 | loss train: 11.970, val: n/a | iter time: 351.11 ms (step) remaining time: 4 days, 16:53:01 Epoch 1 | iter 192 step 3 | loss train: 11.971, val: n/a | iter time: 353.74 ms (step) remaining time: 3 days, 23:43:23 Epoch 1 | iter 256 step 4 | loss train: 11.974, val: n/a | iter time: 355.03 ms (step) remaining time: 3 days, 14:41:57 Epoch 1 | iter 320 step 5 | loss train: 11.964, val: n/a | iter time: 357.36 ms (step) remaining time: 3 days, 9:21:54 Epoch 1 | iter 384 step 6 | loss train: 11.957, val: n/a | iter time: 362.27 ms (step) remaining time: 3 days, 5:53:20 Epoch 1 | iter 448 step 7 | loss train: 11.948, val: n/a | iter time: 359.89 ms (step) remaining time: 3 days, 3:26:34 Epoch 1 | iter 512 step 8 | loss train: 11.938, val: n/a | iter time: 363.84 ms (step) remaining time: 3 days, 1:37:54 Epoch 1 | iter 576 step 9 | loss train: 11.920, val: n/a | iter time: 362.75 ms (step) remaining time: 3 days, 0:13:59 Epoch 1 | iter 640 step 10 | loss train: 11.900, val: n/a | iter time: 363.46 ms (step) remaining time: 2 days, 23:07:06 # ... Epoch 1 | iter 643264 step 10051 | loss train: 2.834, val: 2.669 | iter time: 360.50 ms (step) remaining time: 0:03:59 Epoch 2 | iter 643328 step 10052 | loss train: 2.837, val: 2.669 | iter time: 359.53 ms (step) remaining time: 0:03:37 Epoch 2 | iter 643392 step 10053 | loss train: 2.768, val: 2.669 | iter time: 362.83 ms (step) remaining time: 0:03:15 Epoch 2 | iter 643456 step 10054 | loss train: 2.695, val: 2.669 | iter time: 363.85 ms (step) remaining time: 0:02:53 Epoch 2 | iter 643520 step 10055 | loss train: 2.768, val: 2.669 | iter time: 365.40 ms (step) remaining time: 0:02:30 Epoch 2 | iter 643584 step 10056 | loss train: 2.710, val: 2.669 | iter time: 364.72 ms (step) remaining time: 0:02:08 Epoch 2 | iter 643648 step 10057 | loss train: 2.749, val: 2.669 | iter time: 365.00 ms (step) remaining time: 0:01:46 Epoch 2 | iter 643712 step 10058 | loss train: 2.748, val: 2.669 | iter time: 363.42 ms (step) remaining time: 0:01:24 Epoch 2 | iter 643776 step 10059 | loss train: 2.710, val: 2.669 | iter time: 364.49 ms (step) remaining time: 0:01:02 Epoch 2 | iter 643840 step 10060 | loss train: 2.738, val: 2.669 | iter time: 364.43 ms (step) remaining time: 0:00:39 Epoch 2 | iter 643904 step 10061 | loss train: 2.734, val: 2.669 | iter time: 364.94 ms (step) remaining time: 0:00:17 Validating ... Final evaluation | val loss: 2.669 | val ppl: 14.422 Saving checkpoint to '../out/pretrain-core-0/final/lit_model.pth' ---------------------------------------- | Performance | - Total tokens : 5,275,279,360 | - Training Time : 223314.37 s | - Tok/sec : 5541.09 tok/s | ---------------------------------------- | Memory Usage | - Memory Used : 22.33 GB ---------------------------------------- ``` Backup `wandb`: ```bash mv wandb wandb-pretrain-core-0 ``` Copy config: ```bash cp ../config-0.json ../out/pretrain-core-0/final/config.json ``` Chat with model: ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt chat ../out/pretrain-core-0/final ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True time litgpt evaluate --tasks 'leaderboard' --out_dir '../evaluate/pretrain-core-0/leaderboard/' --batch_size '4' --dtype 'bfloat16' '../out/pretrain-core-0/final' ``` ``` | Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |leaderboard | N/A| | | | | | | | | - leaderboard_bbh | N/A| | | | | | | | | - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| | - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.5134|± |0.0366| | - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.1960|± |0.0252| | - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.3320|± |0.0298| | - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.4680|± |0.0316| | - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.2400|± |0.0271| | - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5160|± |0.0317| | - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.2040|± |0.0255| | - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.1320|± |0.0215| | - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3440|± |0.0301| | - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.2680|± |0.0281| | - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.5720|± |0.0314| | - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.0680|± |0.0160| | - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.2055|± |0.0336| | - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.1760|± |0.0241| | - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2120|± |0.0259| | - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.2240|± |0.0264| | - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.5393|± |0.0375| | - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| | - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2760|± |0.0283| | - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.1720|± |0.0239| | - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1360|± |0.0217| | - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3320|± |0.0298| | - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.4880|± |0.0317| | - leaderboard_gpqa | N/A| | | | | | | | | - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2071|± |0.0289| | - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2637|± |0.0189| | - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2612|± |0.0208| | - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.2770|± | N/A| | | |none | 0|inst_level_strict_acc |↑ |0.2710|± | N/A| | | |none | 0|prompt_level_loose_acc |↑ |0.1534|± |0.0155| | | |none | 0|prompt_level_strict_acc|↑ |0.1497|± |0.0154| | - leaderboard_math_hard | N/A| | | | | | | | | - leaderboard_math_algebra_hard | 2|none | 4|exact_match |↑ |0.0017|± |0.0012| | - leaderboard_math_counting_and_prob_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_geometry_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_intermediate_algebra_hard | 2|none | 4|exact_match |↑ |0.0033|± |0.0019| | - leaderboard_math_num_theory_hard | 2|none | 4|exact_match |↑ |0.0037|± |0.0026| | - leaderboard_math_prealgebra_hard | 2|none | 4|exact_match |↑ |0.0046|± |0.0023| | - leaderboard_math_precalculus_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.1068|± |0.0028| | - leaderboard_musr | N/A| | | | | | | | | - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5160|± |0.0317| | - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.2344|± |0.0265| | - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3200|± |0.0296| ``` ```bash litgpt convert_pretrained_checkpoint ../out/pretrain-core-0/final ../out/pretrain-core-0/checkpoint ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt pretrain --config pretrain_core_model_1.yaml ``` ``` Seed set to 23 Time to instantiate model: 0.32 seconds. Total parameters: 234,914,304 Validating ... Measured TFLOPs: 27760.47 Epoch 1 | iter 128 step 1 | loss train: 3.205, val: 3.457 | iter time: 450.87 ms (step) remaining time: 10:13:33 Epoch 1 | iter 256 step 2 | loss train: 3.175, val: 3.457 | iter time: 386.03 ms (step) remaining time: 9:00:10 Epoch 1 | iter 384 step 3 | loss train: 3.144, val: 3.457 | iter time: 388.88 ms (step) remaining time: 8:35:53 Epoch 1 | iter 512 step 4 | loss train: 3.260, val: 3.457 | iter time: 390.66 ms (step) remaining time: 8:24:17 Epoch 1 | iter 640 step 5 | loss train: 3.247, val: 3.457 | iter time: 392.99 ms (step) remaining time: 8:17:54 Epoch 1 | iter 768 step 6 | loss train: 3.264, val: 3.457 | iter time: 397.01 ms (step) remaining time: 8:13:51 Epoch 1 | iter 896 step 7 | loss train: 3.232, val: 3.457 | iter time: 396.00 ms (step) remaining time: 8:11:00 Epoch 1 | iter 1024 step 8 | loss train: 3.287, val: 3.457 | iter time: 396.93 ms (step) remaining time: 8:08:43 Epoch 1 | iter 1152 step 9 | loss train: 3.236, val: 3.457 | iter time: 398.67 ms (step) remaining time: 8:06:49 Epoch 1 | iter 1280 step 10 | loss train: 3.274, val: 3.457 | iter time: 399.49 ms (step) remaining time: 8:05:09 # ... Epoch 1 | iter 76928 step 601 | loss train: 3.177, val: 3.304 | iter time: 400.61 ms (step) remaining time: 0:03:35 Epoch 1 | iter 77056 step 602 | loss train: 3.191, val: 3.304 | iter time: 396.14 ms (step) remaining time: 0:02:46 Epoch 1 | iter 77184 step 603 | loss train: 3.173, val: 3.304 | iter time: 399.39 ms (step) remaining time: 0:01:58 Epoch 1 | iter 77312 step 604 | loss train: 3.211, val: 3.304 | iter time: 398.61 ms (step) remaining time: 0:01:09 Epoch 1 | iter 77440 step 605 | loss train: 3.203, val: 3.304 | iter time: 399.31 ms (step) remaining time: 0:00:21 Validating ... Final evaluation | val loss: 3.304 | val ppl: 27.217 Saving checkpoint to '../out/pretrain-core-1/final/lit_model.pth' ---------------------------------------- | Performance | - Total tokens : 634,855,424 | - Training Time : 29361.39 s | - Tok/sec : 524.18 tok/s | ---------------------------------------- | Memory Usage | - Memory Used : 22.33 GB ---------------------------------------- ``` ```bash mv wandb wandb-pretrain-core-1 ``` ```bash cp ../config-1.json ../out/pretrain-core-1/final/config.json ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt chat ../out/pretrain-core-1/final ``` ```bash litgpt convert_pretrained_checkpoint ../out/pretrain-core-1/final ../out/pretrain-core-1/checkpoint ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt pretrain --config pretrain_core_model_2.yaml ``` ``` Seed set to 23 Time to instantiate model: 0.30 seconds. Total parameters: 234,914,304 Validating ... Measured TFLOPs: 13880.23 Epoch 1 | iter 256 step 1 | loss train: 2.857, val: 3.078 | iter time: 518.53 ms (step) remaining time: 8:49:46 Epoch 1 | iter 512 step 2 | loss train: 2.839, val: 3.078 | iter time: 461.04 ms (step) remaining time: 7:47:05 Epoch 1 | iter 768 step 3 | loss train: 2.835, val: 3.078 | iter time: 462.82 ms (step) remaining time: 7:27:16 Epoch 1 | iter 1024 step 4 | loss train: 2.872, val: 3.078 | iter time: 464.55 ms (step) remaining time: 7:16:22 Epoch 1 | iter 1280 step 5 | loss train: 2.867, val: 3.078 | iter time: 462.06 ms (step) remaining time: 7:09:02 Epoch 1 | iter 1536 step 6 | loss train: 2.899, val: 3.078 | iter time: 465.26 ms (step) remaining time: 7:03:30 Epoch 1 | iter 1792 step 7 | loss train: 2.878, val: 3.078 | iter time: 465.57 ms (step) remaining time: 6:59:00 Epoch 1 | iter 2048 step 8 | loss train: 2.919, val: 3.078 | iter time: 464.37 ms (step) remaining time: 6:55:10 Epoch 1 | iter 2304 step 9 | loss train: 2.922, val: 3.078 | iter time: 464.24 ms (step) remaining time: 6:51:45 Epoch 1 | iter 2560 step 10 | loss train: 2.924, val: 3.078 | iter time: 464.71 ms (step) remaining time: 6:48:39 # ... Epoch 1 | iter 53760 step 210 | loss train: 2.904, val: 3.013 | iter time: 468.66 ms (step) remaining time: 0:23:26 Epoch 1 | iter 54016 step 211 | loss train: 2.903, val: 3.013 | iter time: 468.81 ms (step) remaining time: 0:21:32 Epoch 1 | iter 54272 step 212 | loss train: 2.951, val: 3.013 | iter time: 463.52 ms (step) remaining time: 0:19:39 Epoch 1 | iter 54528 step 213 | loss train: 2.941, val: 3.013 | iter time: 466.12 ms (step) remaining time: 0:17:45 Epoch 1 | iter 54784 step 214 | loss train: 2.950, val: 3.013 | iter time: 468.24 ms (step) remaining time: 0:15:52 Epoch 1 | iter 55040 step 215 | loss train: 2.943, val: 3.013 | iter time: 466.65 ms (step) remaining time: 0:13:59 Epoch 1 | iter 55296 step 216 | loss train: 2.903, val: 3.013 | iter time: 464.44 ms (step) remaining time: 0:12:05 Epoch 1 | iter 55552 step 217 | loss train: 2.954, val: 3.013 | iter time: 465.12 ms (step) remaining time: 0:10:12 Epoch 1 | iter 55808 step 218 | loss train: 2.907, val: 3.013 | iter time: 464.96 ms (step) remaining time: 0:08:19 Epoch 1 | iter 56064 step 219 | loss train: 2.909, val: 3.013 | iter time: 467.12 ms (step) remaining time: 0:06:25 Epoch 1 | iter 56320 step 220 | loss train: 2.908, val: 3.013 | iter time: 466.43 ms (step) remaining time: 0:04:32 Epoch 1 | iter 56576 step 221 | loss train: 2.894, val: 3.013 | iter time: 469.70 ms (step) remaining time: 0:02:38 Epoch 1 | iter 56832 step 222 | loss train: 2.809, val: 3.013 | iter time: 463.88 ms (step) remaining time: 0:00:45 Validating ... Final evaluation | val loss: 3.011 | val ppl: 20.306 Saving checkpoint to '../out/pretrain-core-1/final/lit_model.pth' ---------------------------------------- | Performance | - Total tokens : 466,411,520 | - Training Time : 25263.31 s | - Tok/sec : 371.33 tok/s | ---------------------------------------- | Memory Usage | - Memory Used : 22.33 GB ---------------------------------------- ``` ```bash cp ../config-2.json ../out/pretrain-core-2/final/config.json ``` ```bash mv wandb wandb-pretrain-core-2 ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt chat ../out/pretrain-core-2/final ``` ```bash litgpt convert_pretrained_checkpoint ../out/pretrain-core-2/final ../out/pretrain-core-2/checkpoint ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt pretrain --config pretrain_core_model_3.yaml ``` ``` Seed set to 23 Time to instantiate model: 0.30 seconds. Total parameters: 234,914,304 Validating ... Measured TFLOPs: 6940.12 Epoch 1 | iter 512 step 1 | loss train: 2.698, val: 2.522 | iter time: 675.96 ms (step) remaining time: 9:49:31 Epoch 1 | iter 1024 step 2 | loss train: 2.627, val: 2.522 | iter time: 603.66 ms (step) remaining time: 9:19:41 Epoch 1 | iter 1536 step 3 | loss train: 2.653, val: 2.522 | iter time: 604.66 ms (step) remaining time: 9:06:15 Epoch 1 | iter 2048 step 4 | loss train: 2.608, val: 2.522 | iter time: 606.23 ms (step) remaining time: 8:57:08 Epoch 1 | iter 2560 step 5 | loss train: 2.604, val: 2.522 | iter time: 605.04 ms (step) remaining time: 8:49:43 Epoch 1 | iter 3072 step 6 | loss train: 2.578, val: 2.522 | iter time: 606.32 ms (step) remaining time: 8:43:08 Epoch 1 | iter 3584 step 7 | loss train: 2.692, val: 2.522 | iter time: 605.08 ms (step) remaining time: 8:37:01 Epoch 1 | iter 4096 step 8 | loss train: 2.570, val: 2.522 | iter time: 607.54 ms (step) remaining time: 8:31:20 Epoch 1 | iter 4608 step 9 | loss train: 2.646, val: 2.522 | iter time: 607.19 ms (step) remaining time: 8:25:47 Epoch 1 | iter 5120 step 10 | loss train: 2.565, val: 2.522 | iter time: 604.76 ms (step) remaining time: 8:20:23 # ... Epoch 1 | iter 51712 step 101 | loss train: 2.562, val: 2.453 | iter time: 607.12 ms (step) remaining time: 0:48:29 Epoch 1 | iter 52224 step 102 | loss train: 2.637, val: 2.453 | iter time: 605.46 ms (step) remaining time: 0:43:31 Epoch 1 | iter 52736 step 103 | loss train: 2.629, val: 2.453 | iter time: 604.15 ms (step) remaining time: 0:38:34 Epoch 1 | iter 53248 step 104 | loss train: 2.629, val: 2.453 | iter time: 605.92 ms (step) remaining time: 0:33:36 Epoch 1 | iter 53760 step 105 | loss train: 2.606, val: 2.453 | iter time: 604.48 ms (step) remaining time: 0:28:38 Epoch 1 | iter 54272 step 106 | loss train: 2.581, val: 2.453 | iter time: 603.78 ms (step) remaining time: 0:23:41 Epoch 1 | iter 54784 step 107 | loss train: 2.580, val: 2.453 | iter time: 605.41 ms (step) remaining time: 0:18:43 Epoch 1 | iter 55296 step 108 | loss train: 2.602, val: 2.453 | iter time: 607.38 ms (step) remaining time: 0:13:46 Epoch 1 | iter 55808 step 109 | loss train: 2.633, val: 2.453 | iter time: 606.06 ms (step) remaining time: 0:08:49 Epoch 1 | iter 56320 step 110 | loss train: 2.631, val: 2.453 | iter time: 608.68 ms (step) remaining time: 0:03:51 Validating ... iter 56320: val loss 2.4515, val time: 19303.40 ms Saving checkpoint to '../out/pretrain-core-3/step-00000110/lit_model.pth' Validating ... Final evaluation | val loss: 2.451 | val ppl: 11.605 Saving checkpoint to '../out/pretrain-core-3/final/lit_model.pth' ---------------------------------------- | Performance | - Total tokens : 464,642,048 | - Training Time : 33018.19 s | - Tok/sec : 362.46 tok/s | ---------------------------------------- | Memory Usage | - Memory Used : 22.33 GB ---------------------------------------- ``` ```bash cp ../config-3.json ../out/pretrain-core-3/final/config.json ``` ```bash mv wandb wandb-pretrain-core-3 ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt chat ../out/pretrain-core-3/final ``` ```bash litgpt convert_pretrained_checkpoint ../out/pretrain-core-3/final ../out/pretrain-core-3/checkpoint ``` ```bash CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True litgpt pretrain --config pretrain_core_model_4.yaml ``` ``` # ... ```