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benieric
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update notebooks (#1588)
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‎src/sagemaker/modules/testing_notebooks/base_model_trainer.ipynb‎

Lines changed: 49 additions & 66 deletions
Original file line numberDiff line numberDiff line change
@@ -6,11 +6,25 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys, os\n",
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"\n",
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"# Get the absolute path of the root directory\n",
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"root_dir = os.path.abspath(os.path.join(os.getcwd(), \"../../..\"))\n",
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"sys.path.insert(0, root_dir)"
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"alias = \"<alias>\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"! pip install \"pydantic>=2.0.0\" sagemaker-core"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"! pip install sagemaker-2.232.4.dev0.tar.gz"
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]
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},
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{
@@ -37,6 +51,7 @@
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"model_trainer = ModelTrainer(\n",
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" training_image=pytorch_image,\n",
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" source_code=source_code,\n",
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" base_job_name=f\"{alias}-miminal-case\",\n",
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")"
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]
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},
@@ -46,14 +61,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_trainer.train(wait=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/3maxeyb/IsenLink"
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"model_trainer.train()"
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]
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},
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{
@@ -82,16 +90,10 @@
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"model_trainer = ModelTrainer(\n",
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" training_image=pytorch_image,\n",
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" source_code=source_code,\n",
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" base_job_name=f\"{alias}-simple-case-1\",\n",
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")\n",
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"\n",
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"model_trainer.train(wait=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/6uy7pmpj/IsenLink"
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"model_trainer.train()"
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]
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},
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{
@@ -118,6 +120,7 @@
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"model_trainer = ModelTrainer(\n",
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" training_image=pytorch_image,\n",
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" source_code=source_code,\n",
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" base_job_name=f\"{alias}-simple-case-2\",\n",
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")"
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]
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},
@@ -127,14 +130,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_trainer.train(wait=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/7n4n4ogr/IsenLink"
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"model_trainer.train()"
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]
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},
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{
@@ -159,7 +155,11 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"access_token = os.environ.get(\"HF_TOKEN\", \"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\")\n",
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"import os\n",
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"\n",
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"access_token = \"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\"\n",
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"os.environ[\"HUGGING_FACE_HUB_TOKEN\"] = access_token\n",
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"\n",
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"model_id = \"meta-llama/Llama-2-7b-hf\"\n",
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"\n",
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"dataset_name = \"tatsu-lab/alpaca\""
@@ -276,7 +276,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Model Trainer Torchrun"
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"#### Model Trainer Torchrun - Manual"
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]
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},
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{
@@ -298,8 +298,8 @@
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"env[\"RDMAV_FORK_SAFE\"] = \"1\"\n",
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"\n",
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"compute = Compute(\n",
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" instance_count=2,\n",
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" instance_type=\"ml.p4d.24xlarge\",\n",
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" instance_count=1,\n",
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" instance_type=\"ml.g5.48xlarge\",\n",
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" volume_size_in_gb=96,\n",
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" keep_alive_period_in_seconds=3600\n",
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")\n",
@@ -329,7 +329,7 @@
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"source_code = SourceCode(\n",
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" source_dir=\"distributed-training/scripts\",\n",
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" requirements=\"requirements.txt\",\n",
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" command=\"torchrun --nnodes 2 \\\n",
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" command=\"torchrun --nnodes 1 \\\n",
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" --nproc_per_node 8 \\\n",
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" --master_addr algo-1 \\\n",
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" --master_port 7777 \\\n",
@@ -343,6 +343,7 @@
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" environment=env,\n",
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" hyperparameters=hyperparameters,\n",
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" source_code=source_code,\n",
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" base_job_name=f\"{alias}-distributed-case\",\n",
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")"
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]
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},
@@ -356,14 +357,14 @@
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" channel_name=\"dataset\",\n",
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" data_source=training_input_path,\n",
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")\n",
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"model_trainer.train(input_data_config=[test_data], wait=False)"
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"model_trainer.train(input_data_config=[test_data])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/10wljn1yu/IsenLink"
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"#### Model Trainer Torchrun - Abstractions"
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]
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},
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{
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"\n",
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"compute = Compute(\n",
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" instance_count=2,\n",
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" instance_type=\"ml.p4d.24xlarge\",\n",
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" instance_type=\"ml.g5.48xlarge\",\n",
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" volume_size_in_gb=96,\n",
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" keep_alive_period_in_seconds=3600\n",
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")\n",
@@ -445,6 +446,7 @@
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" hyperparameters=hyperparameters,\n",
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" source_code=source_code,\n",
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" distributed_runner=mpi,\n",
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" base_job_name=f\"{alias}-distributed-abstractions\",\n",
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")"
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]
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},
@@ -458,7 +460,7 @@
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" channel_name=\"dataset\",\n",
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" data_source=training_input_path,\n",
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")\n",
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"model_trainer.train(input_data_config=[test_data], wait=False)"
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"model_trainer.train(input_data_config=[test_data])"
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]
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},
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{
@@ -511,13 +513,14 @@
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" }\n",
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"}\n",
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"\n",
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"training_image = \"059094755717.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-gpu\"\n",
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"training_image = \"438465156666.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-gpu\"\n",
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"\n",
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"model_trainer = ModelTrainer.from_recipe(\n",
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" training_recipe=\"training/llama/hf_llama3_8b_seq8192_gpu\",\n",
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" training_image=training_image,\n",
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" recipe_overrides=recipe_overrides,\n",
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" compute=Compute(instance_type=\"ml.p4d.24xlarge\")\n",
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" compute=Compute(instance_type=\"ml.g5.48xlarge\"),\n",
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" base_job_name=f\"{alias}-recipe-case-1\",\n",
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")"
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]
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},
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"model_trainer.train()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/14jxjrndx/IsenLink"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"from sagemaker.modules.train import ModelTrainer\n",
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"from sagemaker.modules.configs import Compute\n",
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"\n",
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"training_image = \"059094755717.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-gpu\"\n",
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"training_image = \"438465156666.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-gpu\"\n",
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"\n",
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"model_trainer = ModelTrainer.from_recipe(\n",
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" training_recipe=\"recipes/custom-recipe.yaml\",\n",
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" training_image=training_image,\n",
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" compute=Compute(instance_type=\"ml.p4d.24xlarge\")\n",
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" compute=Compute(instance_type=\"ml.g5.48xlarge\"),\n",
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" base_job_name=f\"{alias}-recipe-case-2\",\n",
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")"
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]
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},
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"model_trainer.train()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/dimbimx1/IsenLink"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
@@ -624,7 +614,7 @@
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" \"FI_EFA_FORK_SAFE\": \"1\"\n",
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"}\n",
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"\n",
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"training_image = \"059094755717.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-neuron\"\n",
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"training_image = \"438465156666.dkr.ecr.us-west-2.amazonaws.com/sagemaker-recipes-neuron\"\n",
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"\n",
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"model_trainer = ModelTrainer.from_recipe(\n",
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" training_recipe=\"https://raw.githubusercontent.com/aws-neuron/neuronx-distributed-training/refs/heads/main/examples/conf/hf_llama3_8B_config.yaml\",\n",
@@ -635,7 +625,7 @@
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" instance_count=2,\n",
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" ),\n",
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" stopping_condition=StoppingCondition(\n",
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" max_runtime_in_seconds=86400\n",
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" max_runtime_in_seconds=3600\n",
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" ),\n",
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" environment=env\n",
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")"
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"source": [
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"train = InputData(\n",
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" channel_name=\"train\",\n",
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" data_source=\"s3://sagemaker-recipes-059094755717-data/data_llama3/\",\n",
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" data_source=\"s3://sagemaker-recipes-438465156666-data/data_llama3/\",\n",
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")\n",
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"\n",
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"model_trainer.train(input_data_config=[train], wait=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Successful Run - https://tiny.amazon.com/125zldym8/IsenLink"
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]
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}
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],
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"metadata": {

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