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---

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

```

```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

```