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rpj_original.json
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{
"uuid": "67db6b77-c7c4-48ae-b431-57254587ed43",
"name": "rpj_original",
"creation_date": "2024_01_13-23_46_59",
"dataset_url": "s3://***REMOVED***/openlm/dcnlp/datasets/rpj_original/",
"manifest_url": "s3://***REMOVED***/openlm/dcnlp/datasets/rpj_original/manifest.jsonl",
"sources": [
{
"uuid": "15701e36-c0bb-4bfa-bf52-d3419dbbd8a1",
"name": "rpj_original_cc"
},
{
"uuid": "a8f160b4-c1c9-409f-a747-a08b7a17d453",
"name": "c4_original"
},
{
"uuid": "edd67f24-49ae-4915-8c3a-dd4bcc62b9d8",
"name": "rpj_original_github"
},
{
"uuid": "c8b17a9b-6bd8-441a-8b9f-dbf486edf574",
"name": "rpj_original_arxiv"
},
{
"uuid": "d017c1fe-c9df-4e06-aa8f-d92b1097283b",
"name": "rpj_original_books"
},
{
"uuid": "3b25b18c-e724-4071-8c7a-d69c5e1aaeac",
"name": "rpj_original_stackexchange"
},
{
"uuid": "050bc436-8d61-4d73-b931-0306a4b26727",
"name": "rpj_original_wiki"
}
],
"tokenized": true,
"tokenizer": "EleutherAI/gpt-neox-20b",
"num_tokens": 1210563340149,
"size": 3145963378720,
"dcnlp_commit_hash": "ab8f8ee7fff1c112fb4e3d9736bcfd126b97864f",
"dcnlp_diff": "diff --git a/exp_data/datasets/untokenized/c4_original.json b/exp_data/datasets/untokenized/c4_original.json\nindex 966680d..f4f0c14 100644\n--- a/exp_data/datasets/untokenized/c4_original.json\n+++ b/exp_data/datasets/untokenized/c4_original.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"a8f160b4-c1c9-409f-a747-a08b7a17d453\",\n \"name\": \"c4_original\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/c4/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/c4/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/c4_wo_dedup.json b/exp_data/datasets/untokenized/c4_wo_dedup.json\nindex fd6fbbd..c5af54a 100644\n--- a/exp_data/datasets/untokenized/c4_wo_dedup.json\n+++ b/exp_data/datasets/untokenized/c4_wo_dedup.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"5431063a-bcdb-4c9e-83df-b5b08243ab1d\",\n \"name\": \"c4_wo_dedup\",\n \"creation_date\": \"2023_12_20-17_59_20\",\n- \"dataset_url\": \"s3://dcnlp-west/cc_wet_2019_april_baselines/c4_wo_dedup/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/cc_wet_2019_april_baselines/c4_wo_dedup/\",\n \"manifest_url\": null,\n \"sources\": [\n {\ndiff --git a/exp_data/datasets/untokenized/rpj_original.json b/exp_data/datasets/untokenized/rpj_original.json\nindex 817a094..d60f561 100644\n--- a/exp_data/datasets/untokenized/rpj_original.json\n+++ b/exp_data/datasets/untokenized/rpj_original.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"a49a6b1a-d357-475e-96a5-7a559ad927ef\",\n \"name\": \"rpj_original\",\n \"creation_date\": \"2024_01_05-10_38_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_arxiv.json b/exp_data/datasets/untokenized/rpj_original_arxiv.json\nindex aea173a..21d27a8 100644\n--- a/exp_data/datasets/untokenized/rpj_original_arxiv.json\n+++ b/exp_data/datasets/untokenized/rpj_original_arxiv.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"c8b17a9b-6bd8-441a-8b9f-dbf486edf574\",\n \"name\": \"rpj_original_arxiv\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/arxiv/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/arxiv/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_books.json b/exp_data/datasets/untokenized/rpj_original_books.json\nindex de40689..51f5c75 100644\n--- a/exp_data/datasets/untokenized/rpj_original_books.json\n+++ b/exp_data/datasets/untokenized/rpj_original_books.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"d017c1fe-c9df-4e06-aa8f-d92b1097283b\",\n \"name\": \"rpj_original_books\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/books_were_too_long_for_vaishaal_to_read/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/books_were_too_long_for_vaishaal_to_read/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_cc.json b/exp_data/datasets/untokenized/rpj_original_cc.json\nindex 4a322df..e538171 100644\n--- a/exp_data/datasets/untokenized/rpj_original_cc.json\n+++ b/exp_data/datasets/untokenized/rpj_original_cc.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"15701e36-c0bb-4bfa-bf52-d3419dbbd8a1\",\n \"name\": \"rpj_original_cc\",\n \"creation_date\": \"2024_01_05-10_38_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/common_crawl/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/common_crawl/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_github.json b/exp_data/datasets/untokenized/rpj_original_github.json\nindex 1380c00..d7546f7 100644\n--- a/exp_data/datasets/untokenized/rpj_original_github.json\n+++ b/exp_data/datasets/untokenized/rpj_original_github.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"edd67f24-49ae-4915-8c3a-dd4bcc62b9d8\",\n \"name\": \"rpj_original_github\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/github/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/github/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_non_CC.json b/exp_data/datasets/untokenized/rpj_original_non_CC.json\nindex 181fbe5..bade67c 100644\n--- a/exp_data/datasets/untokenized/rpj_original_non_CC.json\n+++ b/exp_data/datasets/untokenized/rpj_original_non_CC.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"807c9277-7b10-4133-882d-09e22369587b\",\n \"name\": \"rpj_original_non_CC\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_stackexchange.json b/exp_data/datasets/untokenized/rpj_original_stackexchange.json\nindex 12290b1..f337d4c 100644\n--- a/exp_data/datasets/untokenized/rpj_original_stackexchange.json\n+++ b/exp_data/datasets/untokenized/rpj_original_stackexchange.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"3b25b18c-e724-4071-8c7a-d69c5e1aaeac\",\n \"name\": \"rpj_original_stackexchange\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/stackexchange/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/stackexchange/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rpj_original_wiki.json b/exp_data/datasets/untokenized/rpj_original_wiki.json\nindex d98f66b..b7f70b0 100644\n--- a/exp_data/datasets/untokenized/rpj_original_wiki.json\n+++ b/exp_data/datasets/untokenized/rpj_original_wiki.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"050bc436-8d61-4d73-b931-0306a4b26727\",\n \"name\": \"rpj_original_wiki\",\n \"creation_date\": \"2023_12_31-14_21_45\",\n- \"dataset_url\": \"s3://dcnlp-west/redpajama-real/wiki/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/redpajama_raw/wiki/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/exp_data/datasets/untokenized/rw_original.json b/exp_data/datasets/untokenized/rw_original.json\nindex 3cc566d..aa35e58 100644\n--- a/exp_data/datasets/untokenized/rw_original.json\n+++ b/exp_data/datasets/untokenized/rw_original.json\n@@ -2,7 +2,7 @@\n \"uuid\": \"df16a14e-0f67-4623-933a-805522653f22\",\n \"name\": \"rw_original\",\n \"creation_date\": \"2023_11_22-12_31_00\",\n- \"dataset_url\": \"s3://dcnlp-west/refinedweb_raw_jsonl_keyfix/\",\n+ \"dataset_url\": \"s3://***REMOVED***/openlm/dcnlp/raw_datasets/refinedweb_raw_jsonl_keyfix/\",\n \"manifest_url\": null,\n \"sources\": [],\n \"tokenized\": false,\ndiff --git a/ray_processing/__init__.py b/ray_processing/__init__.py\nindex 5e1b41d..014c770 100644\n--- a/ray_processing/__init__.py\n+++ b/ray_processing/__init__.py\n@@ -1,4 +1,4 @@\n-from dedup_jsonl import dedup_jsonl\n+from ray_processing.dedup_jsonl import dedup_jsonl\n from baselines.core.constants import GLOBAL_FUNCTIONS\n \n-GLOBAL_FUNCTIONS['exact_dedup'] = dedup_jsonl\n\\ No newline at end of file\n+GLOBAL_FUNCTIONS['exact_dedup'] = dedup_jsonl\ndiff --git a/ray_processing/cluster_tri_tokenize_shuffle.yaml b/ray_processing/cluster_tri_tokenize_shuffle.yaml\nnew file mode 100644\nindex 0000000..fbd2f5e\n--- /dev/null\n+++ b/ray_processing/cluster_tri_tokenize_shuffle.yaml\n@@ -0,0 +1,59 @@\n+# An unique identifier for the head node and workers of this cluster.\n+cluster_name: tri-ray-shuffle-tokenize\n+max_workers: 64\n+upscaling_speed: 0.0\n+available_node_types:\n+ ray.head.default:\n+ resources: {}\n+ node_config:\n+ SubnetIds: [subnet-07bf42d7c9cb929e4, subnet-0f72615fd9bd3c717, subnet-0a29e4f1a47443e28, subnet-06e0db77592be2b36]\n+ ImageId: ami-0fc5d935ebf8bc3bc # ray us-east-1\n+ InstanceType: i4i.4xlarge\n+ IamInstanceProfile:\n+ Arn: arn:aws:iam::124224456861:instance-profile/ray-autoscaler-v1\n+ ray.worker.default:\n+ min_workers: 64\n+ max_workers: 64\n+ node_config:\n+ SubnetIds: [subnet-07bf42d7c9cb929e4, subnet-0f72615fd9bd3c717, subnet-0a29e4f1a47443e28, subnet-06e0db77592be2b36]\n+ ImageId: ami-0fc5d935ebf8bc3bc # ray us-east-1\n+ InstanceType: i4i.4xlarge\n+ IamInstanceProfile:\n+ Arn: arn:aws:iam::124224456861:instance-profile/ray-autoscaler-v1\n+\n+# Cloud-provider specific configuration.\n+provider:\n+ type: aws\n+ region: us-east-1\n+ cache_stopped_nodes: False\n+ use_internal_ips: True\n+\n+# Mount local copy of DCNLP instead of cloning\n+file_mounts: {\n+ \"/home/ubuntu/dcnlp\": \"../\",\n+}\n+\n+# Add any paths you don't want to copy from your dcnlp repo.\n+rsync_exclude:\n+ - '**/venv'\n+ - 'training/eval_data/'\n+\n+setup_commands:\n+ # - sudo apt-get update -y\n+ - wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-x86_64.sh -O miniconda.sh\n+ - sudo mkfs -t xfs /dev/nvme1n1\n+ - sudo mount /dev/nvme1n1 /tmp\n+ - sudo chown -R $USER /tmp\n+ # NOTE: This seems to be necessary at TRI AWS due to some permissions issue.\n+ - sudo chmod 1777 /tmp\n+ - bash ~/miniconda.sh -f -b -p /tmp/miniconda3/\n+ - echo 'export PATH=\"/tmp/miniconda3/bin/:$PATH\"' >> ~/.bashrc\n+ - pip install --upgrade pip setuptools wheel\n+ - pip install -U \"ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-manylinux2014_x86_64.whl\"\n+ - pip install boto3==1.26.90\n+ - pip install s3fs==2022.11.0\n+ - pip install psutil\n+ - pip install pyarrow\n+ # TEMPORARY: Due to dependency issues, pinning to a known working branch of open_lm for now. Will change later when better solution is found. \n+ - pip install git+https://github.com/mlfoundations/open_lm.git@achal/tmp-ray-20240108\n+\ndiff --git a/ray_processing/tokenize_shuffle.py b/ray_processing/tokenize_shuffle.py\nindex ba2ac32..14d4125 100644\n--- a/ray_processing/tokenize_shuffle.py\n+++ b/ray_processing/tokenize_shuffle.py\n@@ -53,7 +53,9 @@ if __name__ == \"__main__\":\n assert all(s is not None for s in source_refs), \"Not all source reference jsons could be found.\"\n \n # Collect args for tokenization and pass them into tokenize_shuffle\n- tokenize_shuffle_args = [str(i) for k,v in vars(args).items() for i in [f\"--{k}\", v] if k not in DCNLP_ARGS and v]\n+ tokenize_shuffle_args = [str(i) for k,v in vars(args).items() for i in [f\"--{k}\", v] if k not in DCNLP_ARGS and k != \"do_sample\" and v]\n+ if args.do_sample:\n+ tokenize_shuffle_args += [\"--do_sample\"]\n tokenize_shuffle.main(tokenize_shuffle_args)\n \n dataset_json = generate_tokenized_dataset_json(args, source_refs)\ndiff --git a/setup.py b/setup.py\ndeleted file mode 100644\nindex 96e9a02..0000000\n--- a/setup.py\n+++ /dev/null\n@@ -1,172 +0,0 @@\n-from __future__ import annotations\n-import os\n-import urllib.request\n-import tarfile\n-import shutil\n-import argparse\n-from setuptools.command.install import install\n-from setuptools import setup, find_packages\n-from retrie.retrie import Blacklist\n-import pickle\n-import re\n-import nltk\n-\n-PROJECT_ROOT = os.path.dirname(__file__)\n-\n-class DownloadAssetsCommand(install):\n- description = 'download and set up larger assets (e.g., models, banlists) after installation'\n-\n- user_options = install.user_options + [\n- ('skip-downloads=', 's', \"whether to skip all downloads\"),\n- ('skip-model-downloads=', None, \"whether to skip model downloads\"),\n- ('skip-banlist-downloads=', None, \"whether to skip banlist downloads\")\n- ]\n-\n- def initialize_options(self):\n- install.initialize_options(self)\n- self.skip_downloads = None\n- self.skip_model_downloads = None\n- self.skip_banlist_downloads = None\n-\n- def finalize_options(self):\n- install.finalize_options(self)\n-\n- assert self.skip_downloads in [None, 'y', 'yes', '1', 't', 'true']\n- assert self.skip_model_downloads in [None, 'y', 'yes', '1', 't', 'true']\n- assert self.skip_banlist_downloads in [None, 'y', 'yes', '1', 't', 'true']\n-\n- if self.skip_downloads:\n- self.skip_model_downloads = 'yes'\n- self.skip_banlist_downloads = 'yes'\n- \n-\n- def run(self):\n- # Call the parent class to perform the installation\n- super().run()\n-\n- # Download punkt which is necessary for some mappers\n- nltk.download('punkt')\n-\n- if not self.skip_model_downloads:\n- # Download the models\n- print(\"\\n\\nReached model downloads\\n\\n\")\n- self._download_fasttext_model()\n- self._download_quality_models()\n-\n- # Download the RefinedWeb banlists\n- if not self.skip_banlist_downloads:\n- print(\"\\n\\nReached banlist downloads\\n\\n\")\n- self._create_refinedweb_banlists()\n-\n- def _download_fasttext_model(self):\n- url = \"https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin\"\n- MODEL_SUBDIRECTORY = \"baselines/mappers/enrichers/language_id_enrichment_models\"\n- MODEL_FILENAME = \"lid.176.bin\"\n- destination = os.path.join(PROJECT_ROOT, MODEL_SUBDIRECTORY, MODEL_FILENAME)\n-\n- if not os.path.exists(destination):\n- os.makedirs(os.path.dirname(destination), exist_ok=True)\n- print(f'Downloading {url} to {destination}')\n- urllib.request.urlretrieve(url, destination)\n- print(f\"Finsihed downloading {url} to {destination}\")\n- else:\n- print(f'File {destination} already exists')\n-\n- def _download_quality_models(self):\n- MODEL_SUBDIRECTORY = \"baselines/mappers/enrichers/quality_prediction_enrichment_models\"\n-\n- # Models and their URLs\n- models = {\n- \"model.bin\": \"https://wmtis.s3.eu-west-1.amazonaws.com/quality_prediction_model/model.bin\",\n- \"en.arpa.bin\": \"https://huggingface.co/edugp/kenlm/resolve/main/wikipedia/en.arpa.bin\",\n- \"en.sp.model\": \"https://huggingface.co/edugp/kenlm/resolve/main/wikipedia/en.sp.model\"\n- }\n-\n- for MODEL_FILENAME, url in models.items():\n- destination = os.path.join(PROJECT_ROOT, MODEL_SUBDIRECTORY, MODEL_FILENAME)\n-\n- if not os.path.exists(destination):\n- print(f\"Downloading {MODEL_FILENAME} to {destination}...\")\n- os.makedirs(os.path.dirname(destination), exist_ok=True)\n- urllib.request.urlretrieve(url, destination)\n- print(f\"Finished downloading {MODEL_FILENAME} to {destination}\")\n- else:\n- print(f\"File {destination} already exists\")\n-\n- def _create_refinedweb_banlists(self):\n- UNCURATED_BANLISTS_URL = \"ftp://ftp.ut-capitole.fr/pub/reseau/cache/squidguard_contrib/blacklists.tar.gz\"\n- BANLIST_OUTPUT_DIR = \"baselines/mappers/banlists\"\n- BANNED_CATEGORIES = [\n- 'adult', \n- 'phishing', \n- 'dating', \n- 'gambling', \n- 'filehosting',\n- 'ddos', \n- 'agressif', \n- 'chat', \n- 'mixed_adult', \n- 'arjel'\n- ] \n-\n- if not os.path.exists(f\"{BANLIST_OUTPUT_DIR}/refinedweb_banned_domains_and_urls.txt\"):\n- print(f\"Downloading {UNCURATED_BANLISTS_URL}...\")\n- urllib.request.urlretrieve(UNCURATED_BANLISTS_URL, f\"{BANLIST_OUTPUT_DIR}/blacklists.tar.gz\")\n-\n- print(\"Extracting banlists...\")\n- with tarfile.open(f\"{BANLIST_OUTPUT_DIR}/blacklists.tar.gz\") as file:\n- file.extractall(f\"{BANLIST_OUTPUT_DIR}\")\n-\n- print(\"Building banlist from target categories...\")\n- banned_domains = []\n- banned_urls = []\n- for category in BANNED_CATEGORIES:\n- if os.path.exists(f\"{BANLIST_OUTPUT_DIR}/blacklists/{category}/domains\"):\n- with open(f\"{BANLIST_OUTPUT_DIR}/blacklists/{category}/domains\", \"r\") as file:\n- banned_domains.extend(file.read().splitlines())\n-\n- if os.path.exists(f\"{BANLIST_OUTPUT_DIR}/blacklists/{category}/urls\"):\n- with open(f\"{BANLIST_OUTPUT_DIR}/blacklists/{category}/urls\", \"r\") as file:\n- banned_urls.extend(file.read().splitlines())\n- banlist = banned_domains + banned_urls\n-\n- # Removes the raw downloads (with all the different categories)\n- os.remove(f\"{BANLIST_OUTPUT_DIR}/blacklists.tar.gz\")\n- shutil.rmtree(f'{BANLIST_OUTPUT_DIR}/blacklists')\n-\n-\n- print(\"Writing banlists to files...\")\n- with open(f\"{BANLIST_OUTPUT_DIR}/refinedweb_banned_domains.txt\", \"w\") as file:\n- for item in banned_domains:\n- file.write(f\"{item}\\n\")\n-\n- with open(f\"{BANLIST_OUTPUT_DIR}/refinedweb_banned_urls.txt\", \"w\") as file:\n- for item in banned_urls:\n- file.write(f\"{item}\\n\")\n-\n- with open(f\"{BANLIST_OUTPUT_DIR}/refinedweb_banned_domains_and_urls.txt\", \"w\") as file:\n- for item in banlist:\n- file.write(f\"{item}\\n\")\n-\n- banlist = [b.lower() for b in banlist]\n- pattern = re.compile(Blacklist(banlist, match_substrings=True).compiled)\n- with open(f\"{BANLIST_OUTPUT_DIR}/refinedweb_banned_domains_and_urls_regex.pkl\", \"wb\") as file:\n- pickle.dump(pattern, file)\n-\n- else:\n- print(f\"File {f'{BANLIST_OUTPUT_DIR}/refinedweb_banned_domains_and_urls.txt'} already exists\")\n-\n-\n-with open('requirements.txt') as f:\n- required = [r for r in f.read().splitlines() if 'github' not in r]\n-\n-setup(\n- name='baselines', # Change this to your package name\n- version='0.0.1', # Change this to your package version\n- description='Description of your package', # Add a brief description\n- packages=find_packages(),\n- install_requires=required,\n- cmdclass={\n- 'install': DownloadAssetsCommand,\n- },\n-)\ndiff --git a/training/configs/11m_1x.json b/training/configs/11m_1x.json\nindex 3cd6916..4455d89 100644\n--- a/training/configs/11m_1x.json\n+++ b/training/configs/11m_1x.json\n@@ -18,4 +18,4 @@\n \"--fsdp-limit-all-gathers\"\n ],\n \"chinchilla_multiplier\": 1\n-}\n\\ No newline at end of file\n+}\ndiff --git a/training/configs/1b_1x.json b/training/configs/1b_1x.json\nindex bd0a40b..45b4656 100644\n--- a/training/configs/1b_1x.json\n+++ b/training/configs/1b_1x.json\n@@ -8,7 +8,7 @@\n \"wd\": 0.033,\n \"cd\": 3e-5,\n \"global_bs\": 256,\n- \"acc\": 2,\n+ \"acc\": 1,\n \"qk_norm\": true,\n \"z_loss\": 1e-4,\n \"grad_checkpointing\": false,\n@@ -18,4 +18,4 @@\n \"--fsdp-limit-all-gathers\"\n ],\n \"chinchilla_multiplier\": 1\n-}\n\\ No newline at end of file\n+}\ndiff --git a/training/configs/3b_1x.json b/training/configs/3b_1x.json\nindex d77a4d4..2e9e15b 100644\n--- a/training/configs/3b_1x.json\n+++ b/training/configs/3b_1x.json\n@@ -8,7 +8,7 @@\n \"wd\": 0.33,\n \"cd\": 3e-05,\n \"global_bs\": 2048,\n- \"acc\": 2,\n+ \"acc\": 4,\n \"qk_norm\": true,\n \"z_loss\": 1e-4,\n \"grad_checkpointing\": false,\ndiff --git a/training/train_scripts/docker/Dockerfile_update b/training/train_scripts/docker/Dockerfile_update\nindex b46252b..2559a85 100644\n--- a/training/train_scripts/docker/Dockerfile_update\n+++ b/training/train_scripts/docker/Dockerfile_update\n@@ -10,5 +10,6 @@ COPY . /opt/ml/code/\n \n # # Prevent sagemaker from installing requirements again.\n RUN rm /opt/ml/code/requirements.txt\n+RUN pip install --upgrade s3fs\n \n ENV SAGEMAKER_PROGRAM training/train.py",
"data_key": "json.gz",
"sampling_yaml": {
"sources": [
{
"source": "COMMON_CRAWL",
"markers": [
"common_crawl/"
]
},
{
"source": "C4",
"markers": [
"c4/"
]
},
{
"source": "GITHUB",
"markers": [
"github"
]
},
{
"source": "WIKIPEDIA",
"markers": [
"wiki"
]
},
{
"source": "BOOKS",
"markers": [
"book"
]
},
{
"source": "ARXIV",
"markers": [
"arxiv"
]
},
{
"source": "STACKEXCHANGE",
"markers": [
"stackexchange"
]
},
{
"source": "UNKNOWN",
"markers": []
}
],
"sampling_frequencies": {
"COMMON_CRAWL": 0.927137103,
"C4": 1.031133101,
"GITHUB": 0.917404247,
"WIKIPEDIA": 2.176546915,
"BOOKS": 2.077507187,
"ARXIV": 1.068963936,
"STACKEXCHANGE": 1.169580328
}
}
}