mirror of
https://github.com/rasbt/LLMs-from-scratch.git
synced 2025-08-10 01:32:10 +00:00
fixed code (#197)
This commit is contained in:
parent
53060dfdfc
commit
b178040b79
@ -286,8 +286,6 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"import json\n",
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"\n",
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"json_file = \"eval-example-data.json\"\n",
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"json_file = \"eval-example-data.json\"\n",
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"\n",
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"\n",
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"with open(json_file, \"r\") as file:\n",
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"with open(json_file, \"r\") as file:\n",
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@ -628,6 +626,8 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"from pathlib import Path\n",
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"\n",
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"for model in (\"model 1 response\", \"model 2 response\"):\n",
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"for model in (\"model 1 response\", \"model 2 response\"):\n",
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"\n",
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"\n",
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" scores = generate_model_scores(json_data, model)\n",
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" scores = generate_model_scores(json_data, model)\n",
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@ -636,8 +636,7 @@
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" print(f\"Average score: {sum(scores)/len(scores):.2f}\\n\")\n",
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" print(f\"Average score: {sum(scores)/len(scores):.2f}\\n\")\n",
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"\n",
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"\n",
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" # Optionally save the scores\n",
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" # Optionally save the scores\n",
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" from pathlib import Path\n",
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" save_path = Path(\"scores\") / f\"llama3-8b-{model.replace(' ', '-')}.json\"\n",
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" save_path = (Path(\"scores\")/f\"llama3-8b-{model}.json\").replace(\" \", \"-\")\n",
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" with open(save_path, \"w\") as file:\n",
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" with open(save_path, \"w\") as file:\n",
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" json.dump(scores, file)"
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" json.dump(scores, file)"
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]
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]
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@ -205,8 +205,6 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"import json\n",
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"\n",
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"json_file = \"eval-example-data.json\"\n",
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"json_file = \"eval-example-data.json\"\n",
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"\n",
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"\n",
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"with open(json_file, \"r\") as file:\n",
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"with open(json_file, \"r\") as file:\n",
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@ -524,6 +522,8 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"from pathlib import Path\n",
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"\n",
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"for model in (\"model 1 response\", \"model 2 response\"):\n",
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"for model in (\"model 1 response\", \"model 2 response\"):\n",
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"\n",
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"\n",
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" scores = generate_model_scores(json_data, model, client)\n",
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" scores = generate_model_scores(json_data, model, client)\n",
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@ -532,8 +532,7 @@
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" print(f\"Average score: {sum(scores)/len(scores):.2f}\\n\")\n",
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" print(f\"Average score: {sum(scores)/len(scores):.2f}\\n\")\n",
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"\n",
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"\n",
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" # Optionally save the scores\n",
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" # Optionally save the scores\n",
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" from pathlib import Path\n",
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" save_path = Path(\"scores\") / f\"gpt4-{model.replace(' ', '-')}.json\"\n",
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" save_path = (Path(\"scores\")/f\"gpt4-{model}.json\").replace(\" \", \"-\")\n",
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" with open(save_path, \"w\") as file:\n",
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" with open(save_path, \"w\") as file:\n",
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" json.dump(scores, file)"
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" json.dump(scores, file)"
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]
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]
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