add evaluations results as metadata to model card
Browse files
README.md
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---
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license: mit
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---
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The nanochat-d32 model described in detail [here](https://github.com/karpathy/nanochat/discussions/8).
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@@ -9,4 +102,4 @@ I'm sorry this is a janky upload but you have to place these files correctly on
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- the token_bytes.pt, tokenizer.pkl have to go into ~/.cache/nanochat/tokenizer directory
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- the meta_000650.json, model_000650.pt have to go into ~/.cache/nanochat/chatsft_checkpoints/d32/
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-
I'll figure out how to make this less janky in the future, and to make nanochat play nicer with huggingface infra.
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---
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license: mit
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datasets:
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- karpathy/fineweb-edu-100b-shuffle
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model-index:
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- name: chat-d10
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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metrics:
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- type: acc_norm
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value: 49.91
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name: normalized accuracy
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Easy
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split: test
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metrics:
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- type: acc_norm
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value: 67.97
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name: normalized accuracy
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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metrics:
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- type: acc
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value: 40.49
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name: accuracy
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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metrics:
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- type: acc
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value: 12.74
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name: accuracy
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HumanEval
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type: openai_humaneval
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split: test
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metrics:
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- type: pass@1
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value: 12.8
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name: pass@1
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: ChatCORE
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type: chatcore
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split: test
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metrics:
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- type: score
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value: 27.34
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name: ChatCORE metric
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source:
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url: https://github.com/karpathy/nanochat/discussions/8
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name: nanochat
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---
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The nanochat-d32 model described in detail [here](https://github.com/karpathy/nanochat/discussions/8).
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- the token_bytes.pt, tokenizer.pkl have to go into ~/.cache/nanochat/tokenizer directory
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- the meta_000650.json, model_000650.pt have to go into ~/.cache/nanochat/chatsft_checkpoints/d32/
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I'll figure out how to make this less janky in the future, and to make nanochat play nicer with huggingface infra.
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