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README.md
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@@ -27,9 +27,10 @@ Introducing **MachineLearningLM** 🧪📊 — a model continuously pretrained o
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## evaluation and validation
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We have developed an automated evaluation framework — simply configure the parameters to easily perform validation and evaluation.
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```bash
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pip install -r requirements.txt
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--output_dir ./demo_output.jsonl \
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--model_name MachineLearningLM/MachineLearningLM-7B-v1
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```
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For more usage details, please visit our GitHub.
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## evaluation and validation
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We have developed an automated evaluation framework — simply configure the parameters to easily perform validation and evaluation.
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**The code is now open-sourced at our GitHub.**
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**Quick Start**
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```bash
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pip install -r requirements.txt
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--output_dir ./demo_output.jsonl \
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--model_name MachineLearningLM/MachineLearningLM-7B-v1
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```
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**Automated pipeline**
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```bash
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# modify the evaluate_parameters.sh file
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source evaluate_parameters.sh
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./scripts/evaluate_pipeline.sh
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```
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For more usage details, please visit our GitHub.
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