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datasets: |
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- sahil2801/CodeAlpaca-20k |
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library_name: peft |
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tags: |
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- codellama7b |
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- code |
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- instruct |
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- instruct-code |
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- code-alpaca |
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- alpaca-instruct |
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- alpaca |
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- codellama7b |
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- gpt2 |
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--- |
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We finetuned CodeLlama7B on Code-Alpaca-Instruct Dataset (sahil2801/CodeAlpaca-20k) for 5 epochs or ~ 25,000 steps using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm). |
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This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment. |
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The finetuning session got completed in 4 hours and costed us only `$16` for the entire finetuning run! |
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#### Hyperparameters & Run details: |
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- Model Path: meta-llama/CodeLlama7B |
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- Dataset: sahil2801/CodeAlpaca-20k |
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- Learning rate: 0.0003 |
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- Number of epochs: 5 |
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- Data split: Training: 90% / Validation: 10% |
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- Gradient accumulation steps: 1 |
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--- |
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license: apache-2.0 |
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--- |
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