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

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

@@ -0,0 +1,81 @@
+{
+  "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"
+}