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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"source": [
"Initial setup"
],
"metadata": {
"id": "U8RTc2PmnX-v"
}
},
{
"cell_type": "code",
"source": [
"!pip install -r https://huggingface.co/flunardelli/llm-metaeval/raw/main/requirements.txt"
],
"metadata": {
"id": "kGW7vfRkrqHe"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from huggingface_hub import notebook_login\n",
"notebook_login()"
],
"metadata": {
"id": "2I850FIsCVNw"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Create task for MMLU all datasets"
],
"metadata": {
"id": "Jd2JwKZaPkNS"
}
},
{
"cell_type": "code",
"source": [
"YAML_mmlu_en_us_string = \"\"\"\n",
"task: mmlu_all\n",
"dataset_path: cais/mmlu\n",
"dataset_name: all\n",
"description: \"MMLU dataset in English\"\n",
"test_split: test\n",
"fewshot_split: dev\n",
"fewshot_config:\n",
" sampler: first_n\n",
"output_type: multiple_choice\n",
"doc_to_text: \"{{question.strip()}}\\nA. {{choices[0]}}\\nB. {{choices[1]}}\\nC. {{choices[2]}}\\nD. {{choices[3]}}\\nAnswer:\"\n",
"doc_to_choice: [\"A\", \"B\", \"C\", \"D\"]\n",
"doc_to_target: answer\n",
"metric_list:\n",
" - metric: acc\n",
" aggregation: mean\n",
" higher_is_better: true\n",
" - metric: acc_norm\n",
" aggregation: mean\n",
" higher_is_better: true\n",
"\"\"\"\n",
"with open(\"mmlu_en_us.yaml\", \"w\") as f:\n",
" f.write(YAML_mmlu_en_us_string)"
],
"metadata": {
"id": "xP0cC_sHih7C"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Llama Models"
],
"metadata": {
"id": "mJjo_A5tP-Td"
}
},
{
"cell_type": "code",
"source": [
"!lm_eval --model hf \\\n",
" --model_args pretrained=meta-llama/Llama-3.2-1B-Instruct \\\n",
" --include_path ./ \\\n",
" --tasks mmlu_all \\\n",
" --output output/mmlu/ \\\n",
" --use_cache cache \\\n",
" --device cuda:0 \\\n",
" --log_samples\n",
" # --limit 10\n"
],
"metadata": {
"id": "IzP5nyP0Gwk8"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!lm_eval --model hf \\\n",
" --model_args pretrained=meta-llama/Llama-3.2-3B-Instruct \\\n",
" --include_path ./ \\\n",
" --tasks mmlu_all \\\n",
" --output output/mmlu/ \\\n",
" --use_cache cache \\\n",
" --device cuda:0 \\\n",
" --log_samples\n",
" # --limit 10"
],
"metadata": {
"id": "oIACOAhDW5ow"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!lm_eval --model hf \\\n",
" --model_args pretrained=mistralai/Mixtral-8x7B-Instruct-v0.1 \\\n",
" --include_path ./ \\\n",
" --tasks mmlu_all \\\n",
" --output output/mmlu/ \\\n",
" --use_cache cache \\\n",
" --device cuda:0 \\\n",
" --log_samples\n",
" # --limit 10"
],
"metadata": {
"id": "1Nxw4WNxZUyb"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!lm_eval --model hf \\\n",
" --model_args pretrained=meta-llama/Meta-Llama-3-8B \\\n",
" --include_path ./ \\\n",
" --tasks mmlu_all \\\n",
" --output output/mmlu/ \\\n",
" --use_cache cache \\\n",
" --device cuda:0 \\\n",
" --log_samples\n",
" # --limit 10"
],
"metadata": {
"id": "cFFYPzBIYGf7"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Mistral Models"
],
"metadata": {
"id": "1fEX-49hQ-Be"
}
},
{
"cell_type": "code",
"source": [
"!lm_eval --model hf \\\n",
" --model_args pretrained=mistralai/Mistral-7B-v0.1 \\\n",
" --include_path ./ \\\n",
" --tasks mmlu_all \\\n",
" --output output/mmlu/ \\\n",
" --use_cache cache \\\n",
" --device cuda:0 \\\n",
" --log_samples\n",
" # --limit 10"
],
"metadata": {
"id": "3cHI2qxN2fJ0"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"id": "ZUTPHnV0kMB1"
}
}
]
} |