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wesslen/helm-benchmark.ipynb

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helm-benchmark.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"machine_shape": "hm",
"gpuType": "A100",
"authorship_tag": "ABX9TyPO049LPReJhw5Lqc/NB9Me",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/wesslen/296a7e94e2bf63ffa6b976e5bc388f51/helm-benchmark.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "09L6ZByBsXZa"
},
"outputs": [],
"source": [
"%%capture\n",
"!pip install pyarrow==14.0.2\n",
"!pip install crfm-helm"
]
},
{
"cell_type": "code",
"source": [
"!echo 'entries: [{description: \"mmlu:subject=philosophy,model=ValiantLabs/Llama3.1-8B-Cobalt\", priority: 1}]' > run_entries.conf\n"
],
"metadata": {
"id": "dWhI2II5tOeh"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"When adding a HF model, you need to provide `--enable-huggingface-models [modelname]` or else it won't run."
],
"metadata": {
"id": "oXNUlQvcSNsp"
}
},
{
"cell_type": "code",
"source": [
"!helm-run --conf-paths run_entries.conf --suite v1 --max-eval-instances 10 --enable-huggingface-models ValiantLabs/Llama3.1-8B-Cobalt"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cR7Wj625tS_2",
"outputId": "505ac7a8-9e2b-4831-9e10-197bd69ed27a"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
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"model-00007-of-00007.safetensors: 96% 2.46G/2.57G [00:59<00:02, 38.8MB/s]\u001b[A\u001b[A\u001b[A\n",
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"\n",
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"model-00007-of-00007.safetensors: 99% 2.55G/2.57G [01:00<00:00, 57.2MB/s]\u001b[A\u001b[A\u001b[A\n",
"\n",
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"model-00007-of-00007.safetensors: 100% 2.57G/2.57G [01:01<00:00, 42.0MB/s]\n",
"\n",
"\n",
"Downloading shards: 100% 7/7 [13:09<00:00, 112.84s/it]\n",
"\n",
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"Loading checkpoint shards: 0% 0/7 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
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"\n",
"\n",
"generation_config.json: 100% 184/184 [00:00<00:00, 1.21MB/s]\n",
" } [13m21.884s]\n",
" } [13m21.937s]\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
"\n",
" 10% 1/10 [13:25<2:00:47, 805.32s/it]\u001b[ASetting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
"\n",
" 50% 5/10 [13:26<10:01, 120.21s/it] \u001b[ASetting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
"Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.\n",
" WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
"\n",
" 90% 9/10 [13:26<00:54, 54.30s/it] \u001b[A WARNING: truncate_sequence needs to strip \"<|eot_id|>\"\n",
"\n",
"100% 10/10 [13:27<00:00, 80.72s/it]\n",
" } [13m27.215s]\n",
" Processed 10 requests\n",
" } [13m27.215s]\n",
" AnnotationExecutor.execute {\n",
" No annotators to run.\n",
" } [0.0s]\n",
"[nltk_data] Downloading package punkt to /root/nltk_data...\n",
"[nltk_data] Unzipping tokenizers/punkt.zip.\n",
" 3 metrics {\n",
" BasicMetric(exact_match,quasi_exact_match,prefix_exact_match,quasi_prefix_exact_match) {\n",
" Parallelizing computation on 10 items over 4 threads {\n",
"\n",
"100% 10/10 [00:00<00:00, 315.37it/s]\n",
" } [0.036s]\n",
" Skipping computing calibration metrics because logprobs were not available.\n",
" Skipping computing calibration metrics because logprobs were not available.\n",
" } [0.05s]\n",
" BasicReferenceMetric {\n",
" Parallelizing computation on 10 items over 4 threads {\n",
"\n",
"100% 10/10 [00:00<00:00, 151967.54it/s]\n",
" } [0.001s]\n",
" } [0.001s]\n",
" <helm.benchmark.metrics.basic_metrics.InstancesPerSplitMetric object at 0x78c29cc7ea70> {\n",
" } [0.0s]\n",
" } [0.051s]\n",
" Generated 162 stats.\n",
" Writing 1979 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/run_spec.json\n",
" Writing 255 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/scenario.json\n",
" Writing 36695 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/scenario_state.json\n",
" Writing 54416 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/stats.json\n",
" Writing 75227 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/per_instance_stats.json\n",
" CacheStats.print_status {\n",
" prod_env/cache/ValiantLabs.sqlite: 40 queries, 30 computes\n",
" } [0.0s]\n",
" } [13m34.14s]\n",
"100% 1/1 [13:34<00:00, 814.14s/it]\n",
" Done.\n",
"} [13m40.562s]\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!helm-summarize --suite v1"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yESAkrJEti8t",
"outputId": "611414d8-890e-497e-c124-4edac207d34b"
},
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"main: summarize {\n",
" Reading tokenizer configs from /usr/local/lib/python3.10/dist-packages/helm/config/tokenizer_configs.yaml...\n",
" Reading model deployments from /usr/local/lib/python3.10/dist-packages/helm/config/model_deployments.yaml...\n",
" Reading schema file /usr/local/lib/python3.10/dist-packages/helm/benchmark/static/schema_classic.yaml...\n",
"100% 1/1 [00:00<00:00, 114.55it/s]\n",
" Summarizer.check_metrics_defined {\n",
" } [0.0s]\n",
" Parallelizing computation on 1 items over 8 threads {\n",
" write_run_display_json {\n",
" 0% 0/1 [00:00<?, ?it/s] Writing 7442 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/instances.json\n",
" Writing 4018 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/display_predictions.json\n",
" Writing 19051 characters to benchmark_output/runs/v1/mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt/display_requests.json\n",
" } [0.03s]\n",
"100% 1/1 [00:00<00:00, 32.22it/s]\n",
" } [0.031s]\n",
" Directory benchmark_output/runs/v1/data_overlap not found; skipped producing instance ids file.\n",
" Directory benchmark_output/runs/v1/data_overlap not found; skipped import of overlap results.\n",
" Writing 165587 characters to benchmark_output/runs/v1/schema.json\n",
" Summarizer.write_executive_summary {\n",
" Writing 71 characters to benchmark_output/runs/v1/summary.json\n",
" } [0.0s]\n",
" Writing 68264 characters to benchmark_output/runs/v1/runs.json\n",
" Writing 2125 characters to benchmark_output/runs/v1/run_specs.json\n",
" Writing 103 characters to benchmark_output/runs/v1/runs_to_run_suites.json\n",
" Writing 98107 characters to benchmark_output/runs/v1/groups.json\n",
" Writing 46727 characters to benchmark_output/runs/v1/groups_metadata.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_denoised_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" Writing 294 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_accuracy.tex\n",
" Writing 10268 characters to benchmark_output/runs/v1/groups/json/core_scenarios_accuracy.json\n",
" Writing 266 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_calibration.tex\n",
" Writing 10744 characters to benchmark_output/runs/v1/groups/json/core_scenarios_calibration.json\n",
" Writing 311 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_robustness.tex\n",
" Writing 11646 characters to benchmark_output/runs/v1/groups/json/core_scenarios_robustness.json\n",
" Writing 305 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_fairness.tex\n",
" Writing 11526 characters to benchmark_output/runs/v1/groups/json/core_scenarios_fairness.json\n",
" Writing 264 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_efficiency.tex\n",
" Writing 12194 characters to benchmark_output/runs/v1/groups/json/core_scenarios_efficiency.json\n",
" Writing 456 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_general_information.tex\n",
" Writing 52845 characters to benchmark_output/runs/v1/groups/json/core_scenarios_general_information.json\n",
" Writing 252 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_bias.tex\n",
" Writing 45648 characters to benchmark_output/runs/v1/groups/json/core_scenarios_bias.json\n",
" Writing 260 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_toxicity.tex\n",
" Writing 8095 characters to benchmark_output/runs/v1/groups/json/core_scenarios_toxicity.json\n",
" Writing 286 characters to benchmark_output/runs/v1/groups/latex/core_scenarios_summarization_metrics.tex\n",
" Writing 11788 characters to benchmark_output/runs/v1/groups/json/core_scenarios_summarization_metrics.json\n",
" Writing 182336 characters to benchmark_output/runs/v1/groups/core_scenarios.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_idealized_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_denoised_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" Writing 306 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_accuracy.tex\n",
" Writing 14797 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_accuracy.json\n",
" Writing 468 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_general_information.tex\n",
" Writing 102345 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_general_information.json\n",
" Writing 278 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_calibration.tex\n",
" Writing 5062 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_calibration.json\n",
" Writing 323 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_robustness.tex\n",
" Writing 4931 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_robustness.json\n",
" Writing 317 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_fairness.tex\n",
" Writing 4883 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_fairness.json\n",
" Writing 264 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_bias.tex\n",
" Writing 27758 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_bias.json\n",
" Writing 272 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_toxicity.tex\n",
" Writing 5269 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_toxicity.json\n",
" Writing 280 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_apps_metrics.tex\n",
" Writing 2096 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_apps_metrics.json\n",
" Writing 290 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_copyright_metrics.tex\n",
" Writing 4553 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_copyright_metrics.json\n",
" Writing 300 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_disinformation_metrics.tex\n",
" Writing 3306 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_disinformation_metrics.json\n",
" Writing 278 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_bbq_metrics.tex\n",
" Writing 2148 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_bbq_metrics.json\n",
" Writing 353 characters to benchmark_output/runs/v1/groups/latex/targeted_evaluations_efficiency_detailed.tex\n",
" Writing 101102 characters to benchmark_output/runs/v1/groups/json/targeted_evaluations_efficiency_detailed.json\n",
" Writing 290852 characters to benchmark_output/runs/v1/groups/targeted_evaluations.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_denoised_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" Writing 302 characters to benchmark_output/runs/v1/groups/latex/question_answering_accuracy.tex\n",
" Writing 6260 characters to benchmark_output/runs/v1/groups/json/question_answering_accuracy.json\n",
" Writing 274 characters to benchmark_output/runs/v1/groups/latex/question_answering_calibration.tex\n",
" Writing 8324 characters to benchmark_output/runs/v1/groups/json/question_answering_calibration.json\n",
" Writing 319 characters to benchmark_output/runs/v1/groups/latex/question_answering_robustness.tex\n",
" Writing 7906 characters to benchmark_output/runs/v1/groups/json/question_answering_robustness.json\n",
" Writing 313 characters to benchmark_output/runs/v1/groups/latex/question_answering_fairness.tex\n",
" Writing 7826 characters to benchmark_output/runs/v1/groups/json/question_answering_fairness.json\n",
" Writing 272 characters to benchmark_output/runs/v1/groups/latex/question_answering_efficiency.tex\n",
" Writing 7267 characters to benchmark_output/runs/v1/groups/json/question_answering_efficiency.json\n",
" Writing 464 characters to benchmark_output/runs/v1/groups/latex/question_answering_general_information.tex\n",
" Writing 30831 characters to benchmark_output/runs/v1/groups/json/question_answering_general_information.json\n",
" Writing 260 characters to benchmark_output/runs/v1/groups/latex/question_answering_bias.tex\n",
" Writing 19714 characters to benchmark_output/runs/v1/groups/json/question_answering_bias.json\n",
" Writing 268 characters to benchmark_output/runs/v1/groups/latex/question_answering_toxicity.tex\n",
" Writing 3910 characters to benchmark_output/runs/v1/groups/json/question_answering_toxicity.json\n",
" Writing 96198 characters to benchmark_output/runs/v1/groups/question_answering.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_denoised_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" Writing 284 characters to benchmark_output/runs/v1/groups/latex/knowledge_accuracy.tex\n",
" Writing 4560 characters to benchmark_output/runs/v1/groups/json/knowledge_accuracy.json\n",
" Writing 256 characters to benchmark_output/runs/v1/groups/latex/knowledge_calibration.tex\n",
" Writing 5040 characters to benchmark_output/runs/v1/groups/json/knowledge_calibration.json\n",
" Writing 301 characters to benchmark_output/runs/v1/groups/latex/knowledge_robustness.tex\n",
" Writing 4909 characters to benchmark_output/runs/v1/groups/json/knowledge_robustness.json\n",
" Writing 295 characters to benchmark_output/runs/v1/groups/latex/knowledge_fairness.tex\n",
" Writing 4861 characters to benchmark_output/runs/v1/groups/json/knowledge_fairness.json\n",
" Writing 242 characters to benchmark_output/runs/v1/groups/latex/knowledge_bias.tex\n",
" Writing 4960 characters to benchmark_output/runs/v1/groups/json/knowledge_bias.json\n",
" Writing 250 characters to benchmark_output/runs/v1/groups/latex/knowledge_toxicity.tex\n",
" Writing 1518 characters to benchmark_output/runs/v1/groups/json/knowledge_toxicity.json\n",
" Writing 254 characters to benchmark_output/runs/v1/groups/latex/knowledge_efficiency.tex\n",
" Writing 5138 characters to benchmark_output/runs/v1/groups/json/knowledge_efficiency.json\n",
" Writing 446 characters to benchmark_output/runs/v1/groups/latex/knowledge_general_information.tex\n",
" Writing 21399 characters to benchmark_output/runs/v1/groups/json/knowledge_general_information.json\n",
" Writing 54997 characters to benchmark_output/runs/v1/groups/knowledge.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_1_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='selective_cov_acc_area', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='selective_acc@10', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='platt_ece_1_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='platt_ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='platt_coef', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='platt_intercept', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: metric name none undefined in /usr/local/lib/python3.10/dist-packages/helm/benchmark/static/schema_classic.yaml, skipping\n",
" Writing 303 characters to benchmark_output/runs/v1/groups/latex/calibration_calibration_detailed.tex\n",
" Writing 24469 characters to benchmark_output/runs/v1/groups/json/calibration_calibration_detailed.json\n",
" Writing 288 characters to benchmark_output/runs/v1/groups/latex/calibration_accuracy.tex\n",
" Writing 3385 characters to benchmark_output/runs/v1/groups/json/calibration_accuracy.json\n",
" Writing 29168 characters to benchmark_output/runs/v1/groups/calibration.json\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='ece_10_bin', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" WARNING: run spec mmlu:subject=philosophy,method=multiple_choice_joint,model=ValiantLabs_Llama3.1-8B-Cobalt does not have any stat matched by MetricNameMatcher(name='inference_denoised_runtime', split='test', sub_split=None, perturbation_name=None), 0 near misses matching just the name\n",
" Writing 507 characters to benchmark_output/runs/v1/groups/latex/mmlu_mmlu_subject:philosophy.tex\n",
" Writing 8605 characters to benchmark_output/runs/v1/groups/json/mmlu_mmlu_subject:philosophy.json\n",
" Writing 9025 characters to benchmark_output/runs/v1/groups/mmlu.json\n",
" Summarizer.write_cost_report {\n",
" Writing 2 characters to benchmark_output/runs/v1/costs.json\n",
" } [0.0s]\n",
" Symlinking benchmark_output/runs/v1 to latest.\n",
" Done.\n",
"} [2.243s]\n"
]
}
]
}
]
}
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