toolevalxm/ScienceGPT-TestRepo

ScienceGPT

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1. Introduction

ScienceGPT is a specialized language model fine-tuned for scientific reasoning and knowledge. The model has been trained on extensive scientific literature and datasets, demonstrating exceptional capabilities in physics, chemistry, biology, mathematics, and earth sciences. It excels at solving complex scientific problems and explaining scientific concepts.

The model shows remarkable improvements in scientific domain understanding compared to general-purpose models. For instance, in standardized science examinations, ScienceGPT achieves 85% accuracy compared to 65% for baseline models.

2. Evaluation Results

Comprehensive Benchmark Results

	Benchmark	BaseModel	Model-v1	Model-v2	ScienceGPT
Core Sciences	Physics	0.620	0.645	0.660	0.593
	Chemistry	0.580	0.595	0.610	0.628
	Biology	0.640	0.670	0.685	0.735
	Mathematics	0.710	0.735	0.750	0.727
	Earth Science	0.590	0.615	0.630	0.661

Overall Performance Summary

ScienceGPT demonstrates strong performance across all scientific benchmark categories, with particularly notable results in mathematics and biology.

3. Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("username/ScienceGPT-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("username/ScienceGPT-TestRepo")

4. License

This model is licensed under the Apache 2.0 License.

5. Contact

For questions, please contact science@example.com.