Delete eval_results/Qwen/Qwen1.5-0.5B-Chat/main/eval_ifeval.json

eval_results/Qwen/Qwen1.5-0.5B-Chat/main/eval_ifeval.json

@@ -1,81 +0,0 @@
-{
-  "results": {
-    "ifeval": {
-      "prompt_level_strict_acc,none": 0.0036968576709796672,
-      "prompt_level_strict_acc_stderr,none": 0.0026116515685375786,
-      "inst_level_strict_acc,none": 0.004796163069544364,
-      "inst_level_strict_acc_stderr,none": "N/A",
-      "prompt_level_loose_acc,none": 0.0036968576709796672,
-      "prompt_level_loose_acc_stderr,none": 0.0026116515685375786,
-      "inst_level_loose_acc,none": 0.005995203836930456,
-      "inst_level_loose_acc_stderr,none": "N/A",
-      "alias": "ifeval"
-    }
-  },
-  "configs": {
-    "ifeval": {
-      "task": "ifeval",
-      "dataset_path": "wis-k/instruction-following-eval",
-      "test_split": "train",
-      "doc_to_text": "prompt",
-      "doc_to_target": 0,
-      "process_results": "def process_results(doc, results):\n    eval_logger.warning(\n        \"This task is meant for chat-finetuned models, and may not give meaningful results for models other than `openai` or `anthropic` if `doc_to_text` in its YAML is not wrapped in the appropriate chat template string. This warning will be removed when chat templating support is added natively to local models\"\n    )\n\n    inp = InputExample(\n        key=doc[\"key\"],\n        instruction_id_list=doc[\"instruction_id_list\"],\n        prompt=doc[\"prompt\"],\n        kwargs=doc[\"kwargs\"],\n    )\n    response = results[0]\n\n    out_strict = test_instruction_following_strict(inp, response)\n    out_loose = test_instruction_following_loose(inp, response)\n\n    return {\n        \"prompt_level_strict_acc\": out_strict.follow_all_instructions,\n        \"inst_level_strict_acc\": out_strict.follow_instruction_list,\n        \"prompt_level_loose_acc\": out_loose.follow_all_instructions,\n        \"inst_level_loose_acc\": out_loose.follow_instruction_list,\n    }\n",
-      "description": "",
-      "target_delimiter": " ",
-      "fewshot_delimiter": "\n\n",
-      "num_fewshot": 0,
-      "metric_list": [
-        {
-          "metric": "prompt_level_strict_acc",
-          "aggregation": "mean",
-          "higher_is_better": true
-        },
-        {
-          "metric": "inst_level_strict_acc",
-          "aggregation": "def agg_inst_level_acc(items):\n    flat_items = [item for sublist in items for item in sublist]\n    inst_level_acc = sum(flat_items) / len(flat_items)\n    return inst_level_acc\n",
-          "higher_is_better": true
-        },
-        {
-          "metric": "prompt_level_loose_acc",
-          "aggregation": "mean",
-          "higher_is_better": true
-        },
-        {
-          "metric": "inst_level_loose_acc",
-          "aggregation": "def agg_inst_level_acc(items):\n    flat_items = [item for sublist in items for item in sublist]\n    inst_level_acc = sum(flat_items) / len(flat_items)\n    return inst_level_acc\n",
-          "higher_is_better": true
-        }
-      ],
-      "output_type": "generate_until",
-      "generation_kwargs": {
-        "until": [],
-        "do_sample": false,
-        "temperature": 0.0,
-        "max_gen_toks": 1280
-      },
-      "repeats": 1,
-      "should_decontaminate": false,
-      "metadata": {
-        "version": 2.0
-      }
-    }
-  },
-  "versions": {
-    "ifeval": 2.0
-  },
-  "n-shot": {
-    "ifeval": 0
-  },
-  "config": {
-    "model": "hf",
-    "model_args": "pretrained=Qwen/Qwen1.5-0.5B-Chat,revision=main,dtype=bfloat16",
-    "batch_size": "auto",
-    "batch_sizes": [],
-    "device": null,
-    "use_cache": null,
-    "limit": null,
-    "bootstrap_iters": 100000,
-    "gen_kwargs": null
-  },
-  "git_hash": "2d2e67f"
-}