Instructions to use AmirMohseni/curvebench-gemma-3-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmirMohseni/curvebench-gemma-3-12b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "AmirMohseni/curvebench-gemma-3-12b") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +0 -0
all_results.json
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"train_loss": 1.7647783374741266e-06,
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"train_runtime": 1084.2338,
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"train_samples": 40,
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"train_samples_per_second": 47.222,
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"train_steps_per_second": 0.369
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train_results.json
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"train_loss":
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"train_steps_per_second": 0.
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{
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"train_loss": 1.7647783374741266e-06,
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"train_runtime": 1084.2338,
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"train_samples": 40,
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"train_samples_per_second": 47.222,
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"train_steps_per_second": 0.369
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trainer_state.json
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