File size: 273,550 Bytes
8563fb4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | INFO 03-09 13:52:56 [__init__.py:239] Automatically detected platform cuda.
2026-03-09:13:55:18 INFO [__main__:429] Passed `--trust_remote_code`, setting environment variable `HF_DATASETS_TRUST_REMOTE_CODE=true`
2026-03-09:13:55:18 INFO [__main__:446] Selected Tasks: ['arc_challenge', 'arc_easy', 'boolq', 'hellaswag', 'lambada', 'lambada_standard', 'piqa', 'social_iqa', 'wikitext', 'winogrande']
2026-03-09:13:55:19 INFO [evaluator:202] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2026-03-09:13:55:19 INFO [evaluator:240] Initializing hf model, with arguments: {'pretrained': 'results/hf_ckpts/blockffn_12b_mul1001_withmean_d64_s128_lr654e4_b512/', 'dtype':
'bfloat16', 'trust_remote_code': True}
2026-03-09:13:55:19 WARNING [accelerate.utils.other:512] Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2026-03-09:13:55:19 INFO [models.huggingface:147] Using device 'cuda:0'
2026-03-09:13:55:19 INFO [models.huggingface:535] Model type cannot be determined. Using default model type 'causal'
2026-03-09:13:55:20 INFO [models.huggingface:414] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
2026-03-09:13:56:10 WARNING [api.task:846] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean
2026-03-09:13:56:10 WARNING [api.task:858] [Task: boolq] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
/home/test1267/test-6/miniconda3/envs/lmeval/lib/python3.10/site-packages/datasets/load.py:1298: FutureWarning: The repository for social_i_qa contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/social_i_qa
You can avoid this message in future by passing the argument `trust_remote_code=True`.
Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
warnings.warn(
2026-03-09:13:58:06 WARNING [api.task:846] [Task: wikitext] metric word_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
2026-03-09:13:58:06 WARNING [api.task:858] [Task: wikitext] metric word_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
2026-03-09:13:58:06 WARNING [api.task:846] [Task: wikitext] metric byte_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
2026-03-09:13:58:06 WARNING [api.task:858] [Task: wikitext] metric byte_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
2026-03-09:13:58:06 WARNING [api.task:846] [Task: wikitext] metric bits_per_byte is defined, but aggregation is not. using default aggregation=bits_per_byte
2026-03-09:13:58:06 WARNING [api.task:858] [Task: wikitext] metric bits_per_byte is defined, but higher_is_better is not. using default higher_is_better=False
2026-03-09:13:59:52 INFO [api.task:434] Building contexts for winogrande on rank 0...
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2026-03-09:13:59:52 INFO [api.task:434] Building contexts for social_iqa on rank 0...
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2026-03-09:14:06:28 INFO [loggers.evaluation_tracker:209] Saving results aggregated
hf (pretrained=results/hf_ckpts/blockffn_12b_mul1001_withmean_d64_s128_lr654e4_b512/,dtype=bfloat16,trust_remote_code=True,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8
| Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
|----------------|------:|------|-----:|---------------|---|------:|---|------|
|arc_challenge | 1|none | 0|acc |↑ | 0.2969|± |0.0134|
| | |none | 0|acc_norm |↑ | 0.3080|± |0.0135|
|arc_easy | 1|none | 0|acc |↑ | 0.6296|± |0.0099|
| | |none | 0|acc_norm |↑ | 0.5770|± |0.0101|
|boolq | 2|none | 0|acc |↑ | 0.6257|± |0.0085|
|hellaswag | 1|none | 0|acc |↑ | 0.3742|± |0.0048|
| | |none | 0|acc_norm |↑ | 0.4738|± |0.0050|
|lambada_openai | 1|none | 0|acc |↑ | 0.4430|± |0.0069|
| | |none | 0|perplexity |↓ |16.9930|± |0.5694|
|lambada_standard| 1|none | 0|acc |↑ | 0.3553|± |0.0067|
| | |none | 0|perplexity |↓ |27.5333|± |0.9519|
|piqa | 1|none | 0|acc |↑ | 0.7024|± |0.0107|
| | |none | 0|acc_norm |↑ | 0.6980|± |0.0107|
|social_iqa | 0|none | 0|acc |↑ | 0.4089|± |0.0111|
|wikitext | 2|none | 0|bits_per_byte |↓ | 0.8290|± | N/A|
| | |none | 0|byte_perplexity|↓ | 1.7765|± | N/A|
| | |none | 0|word_perplexity|↓ |21.6038|± | N/A|
|winogrande | 1|none | 0|acc |↑ | 0.5493|± |0.0140|
|