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Add recipes/A5000_24GB_x8/coder-wizardlm-en.yaml
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β€Ž.vscode/settings.json

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"VARCHAR",
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"wandb",
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"wikisql",
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"wizardlm",
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"WRIME",
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"WTFPLLM",
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"xiaolin",
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target_task: tasks/nlp/translation.md
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base_model_id: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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model_name: tinyllama-coder-wizardlm-en-v0.1
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output_base_dir: /data/output
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dataset_id: WizardLM/WizardLM_evol_instruct_70k
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dataset_input_field_name: instruction
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dataset_output_field_name: output
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dataset_train_split_seed: 42
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dataset_train_split_test_size: 0.2
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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train_claim_gpu_num: 3
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train_per_device_train_batch_size: 8
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train_gradient_accumulation_steps: 2
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train_num_train_epochs: 4
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train_max_steps: 1000
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train_fp16: True
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inference_max_new_tokens: 32
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evaluations:
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-
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prompt: "thank you"
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expected_output: "γ‚γ‚ŠγŒγ¨γ†"
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-
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prompt: "Hello"
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expected_output: "こんにけは"
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prompt: "How are you?"
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expected_output: "γŠε…ƒζ°—γ§γ™γ‹οΌŸ"
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prompt: "I am hungry"
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expected_output: "γŠθ…ΉγŒη©Ίγ„γ¦γ„γΎγ™"

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