Instructions to use HaoxinranYu/data-filtering-challenge-2025-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HaoxinranYu/data-filtering-challenge-2025-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("data4elm/Llama-400M-12L") model = PeftModel.from_pretrained(base_model, "HaoxinranYu/data-filtering-challenge-2025-model") - Notebooks
- Google Colab
- Kaggle
Upload train_results.json
Browse files- train_results.json +9 -0
train_results.json
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{
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"epoch": 1.0,
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"total_flos": 3.5201642010058424e+19,
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"train_loss": 2.373250364741707,
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"train_runtime": 76852.5687,
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"train_samples": 15804483,
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"train_samples_per_second": 205.647,
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"train_steps_per_second": 1.071
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}
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