Document six completed LR runs as preparation for full Aya training on Perun. Record selection of LR 0.00010 by lowest final validation loss, selected-model lm-eval and partial SK-bench results, reproducible provenance, and dataset-access/context-truncation limitations. Preserve existing 30k and Titan material.
138 lines
4.6 KiB
JSON
138 lines
4.6 KiB
JSON
{
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"run_name": "sk_zero_available_without_nli_lr_0p00010_20261022_185255",
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"result_file": "results_2026-10-22T21-55-04.268099.json",
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"task_list_count": 222,
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"configured_tasks": 222,
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"scored_task_variants": 222,
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"result_json_keys": 226,
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"extra_result_keys_excluded_from_task_summaries": [
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"all",
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"mmlu.prompt1_mqa_single_correct_sk:_average|0",
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"mmlu.prompt2_mqa_single_correct_sk:_average|0",
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"mmlu.prompt3_mqa_single_correct_sk:_average|0"
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],
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"all_original_task_variants": 412,
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"omitted_task_variants": 190,
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"inaccessible_repositories": 12,
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"inaccessible_task_variants": 187,
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"additionally_excluded_nli_task_variants": 3,
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"families": {
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"arc": 3,
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"belebele": 3,
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"financial_exams": 3,
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"globalmmlu-lite": 3,
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"mmlu": 171,
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"movie_review": 3,
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"multi_wiki_qa": 3,
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"senti_sk": 6,
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"skj1": 3,
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"sklep": 15,
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"slovakcopa": 3,
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"toxic_sk": 3,
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"truthfulqa": 3
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},
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"prompt_counts": {
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"1": 74,
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"2": 74,
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"3": 74
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},
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"evaluated_instances": 159426,
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"instances_by_prompt": {
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"1": 53142,
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"2": 53142,
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"3": 53142
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},
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"details_files_audited": 222,
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"truncation_column": "model_response.truncated_tokens_count",
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"truncation_values_present": 159426,
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"truncation_null_values": 0,
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"details_reported_samples_with_truncation": 0,
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"details_reported_truncated_tokens_total": 0,
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"details_reported_max_truncated_tokens_per_sample": 0,
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"context_truncation_observed_in_log": true,
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"actual_truncated_sample_count": null,
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"console_context_truncation_warning_count": 1,
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"console_context_truncation_warnings": [
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"context_size + max_new_tokens=53860 which is greater than self.max_length=32768. Truncating context to 32642 tokens."
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],
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"truncation_interpretation": "All DETAILS counters are zero, but the console explicitly reports context truncation. Do not infer no truncation or an affected-sample count from these counters.",
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"model_config": {
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"model_name": "/home/schwarc/diplomovka/skbench_evaluation/models/aya_300k_lr_0p00010",
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"generation_parameters": {
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"num_blocks": null,
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"block_size": null,
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"early_stopping": null,
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"repetition_penalty": null,
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"frequency_penalty": null,
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"length_penalty": null,
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"presence_penalty": null,
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"max_new_tokens": null,
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"min_new_tokens": null,
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"seed": null,
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"stop_tokens": null,
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"temperature": 0,
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"top_k": null,
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"min_p": null,
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"top_p": null,
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"truncate_prompt": null,
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"cache_implementation": null,
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"response_format": null,
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"skip_special_tokens": true
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},
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"system_prompt": null,
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"cache_dir": "~/.cache/huggingface/lighteval",
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"tokenizer": null,
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"revision": "main",
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"dtype": "bfloat16",
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"tensor_parallel_size": 1,
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"data_parallel_size": 1,
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"pipeline_parallel_size": 1,
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"gpu_memory_utilization": 0.85,
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"enable_prefix_caching": null,
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"max_model_length": 32768,
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"quantization": null,
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"load_format": null,
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"swap_space": 4,
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"seed": 1234,
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"trust_remote_code": false,
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"add_special_tokens": true,
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"multichoice_continuations_start_space": true,
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"pairwise_tokenization": false,
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"max_num_seqs": 128,
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"max_num_batched_tokens": 2048,
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"subfolder": null,
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"is_async": false,
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"override_chat_template": null,
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"enforce_eager": true
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},
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"max_samples": null,
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"generation_size_counts": {
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"32": 216,
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"126": 6
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},
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"original_summary_general": {
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"hashes": {
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"hash_examples": "316f54894dcb6f0d",
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"hash_full_prompts": "ba7f9b257c923f55",
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"hash_input_tokens": "8de2f010e9daf7fe",
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"hash_cont_tokens": "1f06ad3e4b80f7cc"
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},
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"truncated": 0,
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"non_truncated": 0,
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"padded": 0,
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"non_padded": 0
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},
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"pyarrow_version": "26.0.0",
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"python_version": "3.12.14 (main, Aug 25 2026, 14:01:42) [MSC v.1944 64 bit (AMD64)]",
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"aggregation": "Descriptive metric-specific task macro means and sample-weighted means; no official full-SK-bench overall score.",
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"limitations": [
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"Partial available zero-shot subset: 222 of 412 task variants.",
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"Only the validation-selected LR=0.00010 was benchmarked.",
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"Sample counts are evaluation instances; prompt variants reuse underlying questions.",
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"One console warning reports context truncation; all DETAILS counters are zero, so the recorded counters do not reliably enumerate affected inputs.",
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"The audit cannot recover the number of affected tasks/samples or quantify output generation-size termination.",
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"All-zero summary counters include non_truncated=0 and cannot prove absence of truncation.",
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"Raw DETAILS and generation-cache parquets are excluded from this curated tree."
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]
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}
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