diff --git "a/evaluation.log" "b/evaluation.log"
new file mode 100644--- /dev/null
+++ "b/evaluation.log"
@@ -0,0 +1,87 @@
+INFO 03-30 20:48:58 [__init__.py:239] Automatically detected platform cuda.
+2026-03-30:20:49:09 INFO     [__main__:429] Passed `--trust_remote_code`, setting environment variable `HF_DATASETS_TRUST_REMOTE_CODE=true`
+2026-03-30:20:49:09 INFO     [__main__:446] Selected Tasks: ['arc_challenge', 'arc_easy', 'boolq', 'hellaswag', 'lambada', 'lambada_standard', 'piqa', 'social_iqa', 'wikitext', 'winogrande']
+2026-03-30:20:49:09 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
+2026-03-30:20:49:09 INFO     [evaluator:240] Initializing hf model, with arguments: {'pretrained': 'results/hf_ckpts/blockffn_02b_mul1002_withmean_d64_s128_lr93e4_b128/', 'dtype':
+        'bfloat16', 'trust_remote_code': True}
+2026-03-30:20:49:09 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.
+2026-03-30:20:49:09 INFO     [models.huggingface:147] Using device 'cuda:0'
+2026-03-30:20:49:09 INFO     [models.huggingface:535] Model type cannot be determined. Using default model type 'causal'
+2026-03-30:20:49:10 INFO     [models.huggingface:414] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
+2026-03-30:20:49:28 WARNING  [api.task:846] [Task: boolq] metric acc is defined, but aggregation is not. using default aggregation=mean
+2026-03-30:20:49:28 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(
+2026-03-30:20:50:24 WARNING  [api.task:846] [Task: wikitext] metric word_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
+2026-03-30:20:50:24 WARNING  [api.task:858] [Task: wikitext] metric word_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
+2026-03-30:20:50:24 WARNING  [api.task:846] [Task: wikitext] metric byte_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
+2026-03-30:20:50:24 WARNING  [api.task:858] [Task: wikitext] metric byte_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
+2026-03-30:20:50:24 WARNING  [api.task:846] [Task: wikitext] metric bits_per_byte is defined, but aggregation is not. using default aggregation=bits_per_byte
+2026-03-30:20:50:24 WARNING  [api.task:858] [Task: wikitext] metric bits_per_byte is defined, but higher_is_better is not. using default higher_is_better=False
+2026-03-30:20:50:41 INFO     [api.task:434] Building contexts for winogrande on rank 0...
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+2026-03-30:20:50:43 INFO     [api.task:434] Building contexts for lambada_standard on rank 0...
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+2026-03-30:20:55:02 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
+hf (pretrained=results/hf_ckpts/blockffn_02b_mul1002_withmean_d64_s128_lr93e4_b128/,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            |↑  |  0.2073|±  |0.0118|
+|                |       |none  |     0|acc_norm       |↑  |  0.2491|±  |0.0126|
+|arc_easy        |      1|none  |     0|acc            |↑  |  0.5198|±  |0.0103|
+|                |       |none  |     0|acc_norm       |↑  |  0.4491|±  |0.0102|
+|boolq           |      2|none  |     0|acc            |↑  |  0.6113|±  |0.0085|
+|hellaswag       |      1|none  |     0|acc            |↑  |  0.2947|±  |0.0045|
+|                |       |none  |     0|acc_norm       |↑  |  0.3293|±  |0.0047|
+|lambada_openai  |      1|none  |     0|acc            |↑  |  0.2765|±  |0.0062|
+|                |       |none  |     0|perplexity     |↓  | 66.6375|±  |2.7538|
+|lambada_standard|      1|none  |     0|acc            |↑  |  0.1948|±  |0.0055|
+|                |       |none  |     0|perplexity     |↓  |198.3143|±  |8.5635|
+|piqa            |      1|none  |     0|acc            |↑  |  0.6436|±  |0.0112|
+|                |       |none  |     0|acc_norm       |↑  |  0.6132|±  |0.0114|
+|social_iqa      |      0|none  |     0|acc            |↑  |  0.3618|±  |0.0109|
+|wikitext        |      2|none  |     0|bits_per_byte  |↓  |  0.9884|±  |   N/A|
+|                |       |none  |     0|byte_perplexity|↓  |  1.9840|±  |   N/A|
+|                |       |none  |     0|word_perplexity|↓  | 39.0005|±  |   N/A|
+|winogrande      |      1|none  |     0|acc            |↑  |  0.5209|±  |0.0140|
+