diff --git "a/sft-410m-eval-files/sft-pythia-410m-5shot-shelloutput.txt" "b/sft-410m-eval-files/sft-pythia-410m-5shot-shelloutput.txt"
new file mode 100644--- /dev/null
+++ "b/sft-410m-eval-files/sft-pythia-410m-5shot-shelloutput.txt"
@@ -0,0 +1,514 @@
+2023-07-29:11:33:11,881 INFO     [utils.py:148] Note: NumExpr detected 56 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
+2023-07-29:11:33:11,881 INFO     [utils.py:160] NumExpr defaulting to 8 threads.
+2023-07-29:11:33:13,402 WARNING  [__init__.py:52] Failed to load config in
+                                 /home/laura/lm-evaluation-harness_big_refactor/lm_eval/tasks/hendrycks_ethics/utilitarianism_original.yaml
+                                 Config will not be added to registry
+                                 Error: argument of type 'NoneType' is not iterable
+2023-07-29:11:33:13,462 INFO     [main.py:135] Selected Tasks: ['arc_challenge', 'arc_easy', 'boolq', 'hellaswag', 'lambada_openai', 'openbookqa', 'piqa', 'sciq', 'wikitext', 'winogrande']
+2023-07-29:11:33:13,525 INFO     [huggingface.py:109] Using device 'cuda:0'
+2023-07-29:11:33:17,358 WARNING  [huggingface.py:246] WARNING: The number of total system GPUs does not match the number of spawned processes. If you would like to use data parallelism, please launch the script with 'accelerate launch *script*'. Current run will proceed with 1 devices.
+2023-07-29:11:33:20,762 WARNING  [builder.py:816] Found cached dataset ai2_arc (/home/laura/.cache/huggingface/datasets/ai2_arc/ARC-Challenge/1.0.0/1569c2591ea2683779581d9fb467203d9aa95543bb9b75dcfde5da92529fd7f6)
+
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100%|██████████| 3/3 [00:00<00:00, 834.19it/s]
+2023-07-29:11:33:20,767 WARNING  [task.py:701] Task 'arc_challenge': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:20,767 WARNING  [task.py:701] Task 'arc_challenge': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:22,667 WARNING  [builder.py:816] Found cached dataset ai2_arc (/home/laura/.cache/huggingface/datasets/ai2_arc/ARC-Easy/1.0.0/1569c2591ea2683779581d9fb467203d9aa95543bb9b75dcfde5da92529fd7f6)
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100%|██████████| 3/3 [00:00<00:00, 1093.12it/s]
+2023-07-29:11:33:22,671 WARNING  [task.py:701] Task 'arc_easy': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:22,671 WARNING  [task.py:701] Task 'arc_easy': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:22,766 WARNING  [task.py:571] metric acc is defined, but aggregation is not. using default aggregation=mean
+2023-07-29:11:33:22,766 WARNING  [task.py:583] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
+2023-07-29:11:33:24,624 WARNING  [builder.py:816] Found cached dataset super_glue (/home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed)
+
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100%|██████████| 3/3 [00:00<00:00, 1106.97it/s]
+2023-07-29:11:33:24,627 WARNING  [task.py:701] Task 'boolq': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:24,627 WARNING  [task.py:701] Task 'boolq': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:26,729 WARNING  [builder.py:816] Found cached dataset hellaswag (/home/laura/.cache/huggingface/datasets/hellaswag/default/0.1.0/512a66dd8b1b1643ab4a48aa4f150d04c91680da6a4096498a5e5f799623d5ae)
+
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100%|██████████| 3/3 [00:00<00:00, 665.94it/s]
+2023-07-29:11:33:26,734 WARNING  [task.py:701] Task 'hellaswag': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:26,734 WARNING  [task.py:701] Task 'hellaswag': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:31,046 WARNING  [builder.py:816] Found cached dataset lambada_openai (/home/laura/.cache/huggingface/datasets/EleutherAI___lambada_openai/default/1.0.0/57baddecfa09d1790541ef07274c5666abfbe9d2ccd0cd46013cd557b0343095)
+
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100%|██████████| 1/1 [00:00<00:00, 925.49it/s]
+2023-07-29:11:33:31,048 WARNING  [task.py:701] Task 'lambada_openai': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:31,048 WARNING  [task.py:302] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2023-07-29:11:33:31,048 WARNING  [task.py:701] Task 'lambada_openai': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:31,048 WARNING  [task.py:302] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2023-07-29:11:33:32,772 WARNING  [builder.py:816] Found cached dataset openbookqa (/home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f)
+
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+2023-07-29:11:33:32,775 WARNING  [task.py:701] Task 'openbookqa': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:32,775 WARNING  [task.py:701] Task 'openbookqa': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:34,773 WARNING  [builder.py:816] Found cached dataset piqa (/home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011)
+
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+2023-07-29:11:33:34,776 WARNING  [task.py:701] Task 'piqa': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:34,776 WARNING  [task.py:701] Task 'piqa': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:37,258 WARNING  [builder.py:816] Found cached dataset sciq (/home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493)
+
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+2023-07-29:11:33:37,262 WARNING  [task.py:701] Task 'sciq': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:37,262 WARNING  [task.py:701] Task 'sciq': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:37,682 WARNING  [task.py:571] metric word_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
+2023-07-29:11:33:37,682 WARNING  [task.py:583] metric word_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
+2023-07-29:11:33:37,682 WARNING  [task.py:571] metric byte_perplexity is defined, but aggregation is not. using default aggregation=weighted_perplexity
+2023-07-29:11:33:37,682 WARNING  [task.py:583] metric byte_perplexity is defined, but higher_is_better is not. using default higher_is_better=False
+2023-07-29:11:33:37,682 WARNING  [task.py:571] metric bits_per_byte is defined, but aggregation is not. using default aggregation=bits_per_byte
+2023-07-29:11:33:37,682 WARNING  [task.py:583] metric bits_per_byte is defined, but higher_is_better is not. using default higher_is_better=False
+2023-07-29:11:33:39,704 WARNING  [builder.py:816] Found cached dataset wikitext_document_level (/home/laura/.cache/huggingface/datasets/EleutherAI___wikitext_document_level/wikitext-2-raw-v1/1.0.0/c7f10a7786444f898dd236db33d4bee9b130f8cbcac690e7bde9b0d027e19fc1)
+
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+2023-07-29:11:33:39,707 WARNING  [task.py:701] Task 'wikitext': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:39,707 WARNING  [task.py:701] Task 'wikitext': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:41,552 WARNING  [builder.py:816] Found cached dataset winogrande (/home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2)
+
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+2023-07-29:11:33:41,556 WARNING  [task.py:701] Task 'winogrande': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:41,556 WARNING  [task.py:701] Task 'winogrande': num_fewshot > 0 but fewshot_split is None. using preconfigured rule.
+2023-07-29:11:33:42,560 INFO     [task.py:357] Building contexts for task 'arc_challenge' on rank 0...
+2023-07-29:11:33:54,836 INFO     [evaluator.py:210] Task: arc_challenge; number of requests on this rank: 4687
+2023-07-29:11:33:54,837 INFO     [task.py:357] Building contexts for task 'arc_easy' on rank 0...
+2023-07-29:11:34:19,682 INFO     [evaluator.py:210] Task: arc_easy; number of requests on this rank: 9501
+2023-07-29:11:34:19,682 INFO     [task.py:357] Building contexts for task 'boolq' on rank 0...
+2023-07-29:11:34:34,039 INFO     [evaluator.py:210] Task: boolq; number of requests on this rank: 6540
+2023-07-29:11:34:34,040 INFO     [task.py:357] Building contexts for task 'hellaswag' on rank 0...
+2023-07-29:11:38:46,649 INFO     [evaluator.py:210] Task: hellaswag; number of requests on this rank: 40168
+2023-07-29:11:38:46,651 INFO     [task.py:357] Building contexts for task 'lambada_openai' on rank 0...
+2023-07-29:11:39:29,240 INFO     [evaluator.py:210] Task: lambada_openai; number of requests on this rank: 5153
+2023-07-29:11:39:29,241 INFO     [task.py:357] Building contexts for task 'openbookqa' on rank 0...
+2023-07-29:11:39:33,131 INFO     [evaluator.py:210] Task: openbookqa; number of requests on this rank: 2000
+2023-07-29:11:39:33,131 INFO     [task.py:357] Building contexts for task 'piqa' on rank 0...
+2023-07-29:11:39:43,911 INFO     [evaluator.py:210] Task: piqa; number of requests on this rank: 3676
+2023-07-29:11:39:43,911 INFO     [task.py:357] Building contexts for task 'sciq' on rank 0...
+2023-07-29:11:39:52,155 INFO     [evaluator.py:210] Task: sciq; number of requests on this rank: 4000
+2023-07-29:11:39:52,156 INFO     [task.py:357] Building contexts for task 'wikitext' on rank 0...
+2023-07-29:11:39:52,638 INFO     [evaluator.py:210] Task: wikitext; number of requests on this rank: 62
+2023-07-29:11:39:52,638 INFO     [task.py:357] Building contexts for task 'winogrande' on rank 0...
+2023-07-29:11:39:52,740 INFO     [evaluator.py:210] Task: winogrande; number of requests on this rank: 2534
+2023-07-29:11:39:52,740 INFO     [evaluator.py:243] Running loglikelihood requests
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+2023-07-29:12:27:55,766 INFO     [evaluator.py:243] Running loglikelihood_rolling requests
+
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+bootstrapping for stddev: perplexity
+
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+{
+  "results": {
+    "arc_challenge": {
+      "acc,none": 0.2363481228668942,
+      "acc_stderr,none": 0.012414960524301842,
+      "acc_norm,none": 0.2696245733788396,
+      "acc_norm_stderr,none": 0.01296804068686915
+    },
+    "arc_easy": {
+      "acc,none": 0.5505050505050505,
+      "acc_stderr,none": 0.010207308833916047,
+      "acc_norm,none": 0.5290404040404041,
+      "acc_norm_stderr,none": 0.01024246382639562
+    },
+    "boolq": {
+      "acc,none": 0.5015290519877675,
+      "acc_stderr,none": 0.008745014084425922
+    },
+    "hellaswag": {
+      "acc,none": 0.33808006373232424,
+      "acc_stderr,none": 0.004720891597174752,
+      "acc_norm,none": 0.40111531567416847,
+      "acc_norm_stderr,none": 0.004891226138578059
+    },
+    "lambada_openai": {
+      "perplexity,none": 14.092313022096198,
+      "perplexity_stderr,none": 0.4548197909283815,
+      "acc,none": 0.44343101106151755,
+      "acc_stderr,none": 0.006921251108304399
+    },
+    "openbookqa": {
+      "acc,none": 0.178,
+      "acc_stderr,none": 0.017123622189062257,
+      "acc_norm,none": 0.288,
+      "acc_norm_stderr,none": 0.020271503835075217
+    },
+    "piqa": {
+      "acc,none": 0.6860718171926007,
+      "acc_stderr,none": 0.010827928134189646,
+      "acc_norm,none": 0.6844396082698585,
+      "acc_norm_stderr,none": 0.010843119201758934
+    },
+    "sciq": {
+      "acc,none": 0.886,
+      "acc_stderr,none": 0.01005510343582333,
+      "acc_norm,none": 0.879,
+      "acc_norm_stderr,none": 0.010318210380946094
+    },
+    "wikitext": {
+      "word_perplexity,none": 35.96785758155289,
+      "byte_perplexity,none": 1.8050958522509775,
+      "bits_per_byte,none": 0.8520754475808856
+    },
+    "winogrande": {
+      "acc,none": 0.5327545382794001,
+      "acc_stderr,none": 0.014022300570434137
+    }
+  },
+  "configs": {
+    "arc_challenge": {
+      "task": "arc_challenge",
+      "group": [
+        "ai2_arc",
+        "multiple_choice"
+      ],
+      "dataset_path": "ai2_arc",
+      "dataset_name": "ARC-Challenge",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Question: {{question}}\nAnswer:",
+      "doc_to_target": "{{choices.label.index(answerKey)}}",
+      "doc_to_choice": "{{choices.text}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
+    },
+    "arc_easy": {
+      "task": "arc_easy",
+      "group": [
+        "ai2_arc",
+        "multiple_choice"
+      ],
+      "dataset_path": "ai2_arc",
+      "dataset_name": "ARC-Easy",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Question: {{question}}\nAnswer:",
+      "doc_to_target": "{{choices.label.index(answerKey)}}",
+      "doc_to_choice": "{{choices.text}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
+    },
+    "boolq": {
+      "task": "boolq",
+      "group": [
+        "super-glue-lm-eval-v1"
+      ],
+      "dataset_path": "super_glue",
+      "dataset_name": "boolq",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": [
+        "no",
+        "yes"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc"
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "passage"
+    },
+    "hellaswag": {
+      "task": "hellaswag",
+      "group": [
+        "multiple_choice"
+      ],
+      "dataset_path": "hellaswag",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace('  ', ' ')}}",
+      "doc_to_target": "{{label}}",
+      "doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', '  ', ' ')|list}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false
+    },
+    "lambada_openai": {
+      "task": "lambada_openai",
+      "group": [
+        "lambada",
+        "loglikelihood",
+        "perplexity"
+      ],
+      "dataset_path": "EleutherAI/lambada_openai",
+      "dataset_name": "default",
+      "test_split": "test",
+      "template_aliases": "",
+      "doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
+      "doc_to_target": "{{' '+text.split(' ')[-1]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "perplexity",
+          "aggregation": "perplexity",
+          "higher_is_better": false
+        },
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "loglikelihood",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{text}}"
+    },
+    "openbookqa": {
+      "task": "openbookqa",
+      "group": [
+        "multiple_choice"
+      ],
+      "dataset_path": "openbookqa",
+      "dataset_name": "main",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "question_stem",
+      "doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
+      "doc_to_choice": "{{choices.text}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "question_stem"
+    },
+    "piqa": {
+      "task": "piqa",
+      "group": [
+        "multiple_choice"
+      ],
+      "dataset_path": "piqa",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "Question: {{goal}}\nAnswer:",
+      "doc_to_target": "label",
+      "doc_to_choice": "{{[sol1, sol2]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "goal"
+    },
+    "sciq": {
+      "task": "sciq",
+      "group": [
+        "multiple_choice"
+      ],
+      "dataset_path": "sciq",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
+      "doc_to_target": 3,
+      "doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{support}} {{question}}"
+    },
+    "wikitext": {
+      "task": "wikitext",
+      "group": [
+        "perplexity",
+        "loglikelihood_rolling"
+      ],
+      "dataset_path": "EleutherAI/wikitext_document_level",
+      "dataset_name": "wikitext-2-raw-v1",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "template_aliases": "",
+      "doc_to_text": "",
+      "doc_to_target": "<function wikitext_detokenizer at 0x7f9fa4a64040>",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "word_perplexity"
+        },
+        {
+          "metric": "byte_perplexity"
+        },
+        {
+          "metric": "bits_per_byte"
+        }
+      ],
+      "output_type": "loglikelihood_rolling",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{page}}"
+    },
+    "winogrande": {
+      "task": "winogrande",
+      "dataset_path": "winogrande",
+      "dataset_name": "winogrande_xl",
+      "training_split": "train",
+      "validation_split": "validation",
+      "doc_to_text": "<function doc_to_text at 0x7f9fa4a36ef0>",
+      "doc_to_target": "<function doc_to_target at 0x7f9fa4a37370>",
+      "doc_to_choice": "<function doc_to_choice at 0x7f9fa4a375b0>",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": false
+    }
+  },
+  "versions": {
+    "arc_challenge": "Yaml",
+    "arc_easy": "Yaml",
+    "boolq": "Yaml",
+    "hellaswag": "Yaml",
+    "lambada_openai": "Yaml",
+    "openbookqa": "Yaml",
+    "piqa": "Yaml",
+    "sciq": "Yaml",
+    "wikitext": "Yaml",
+    "winogrande": "Yaml"
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=lomahony/eleuther-pythia410m-hh-sft",
+    "num_fewshot": 5,
+    "batch_size": 16,
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000
+  },
+  "git_hash": "4e44f0a"
+}
+hf (pretrained=lomahony/eleuther-pythia410m-hh-sft), limit: None, num_fewshot: 5, batch_size: 16
+|     Task     |Version|Filter|    Metric     | Value |   |Stderr|
+|--------------|-------|------|---------------|------:|---|-----:|
+|arc_challenge |Yaml   |none  |acc            | 0.2363|±  |0.0124|
+|              |       |none  |acc_norm       | 0.2696|±  |0.0130|
+|arc_easy      |Yaml   |none  |acc            | 0.5505|±  |0.0102|
+|              |       |none  |acc_norm       | 0.5290|±  |0.0102|
+|boolq         |Yaml   |none  |acc            | 0.5015|±  |0.0087|
+|hellaswag     |Yaml   |none  |acc            | 0.3381|±  |0.0047|
+|              |       |none  |acc_norm       | 0.4011|±  |0.0049|
+|lambada_openai|Yaml   |none  |perplexity     |14.0923|±  |0.4548|
+|              |       |none  |acc            | 0.4434|±  |0.0069|
+|openbookqa    |Yaml   |none  |acc            | 0.1780|±  |0.0171|
+|              |       |none  |acc_norm       | 0.2880|±  |0.0203|
+|piqa          |Yaml   |none  |acc            | 0.6861|±  |0.0108|
+|              |       |none  |acc_norm       | 0.6844|±  |0.0108|
+|sciq          |Yaml   |none  |acc            | 0.8860|±  |0.0101|
+|              |       |none  |acc_norm       | 0.8790|±  |0.0103|
+|wikitext      |Yaml   |none  |word_perplexity|35.9679|   |      |
+|              |       |none  |byte_perplexity| 1.8051|   |      |
+|              |       |none  |bits_per_byte  | 0.8521|   |      |
+|winogrande    |Yaml   |none  |acc            | 0.5328|±  |0.0140|
+