
Fine-Tuned GPT-2 on a balanced dataset curated from Arxiv papers in Condensed Matter Physics achieving a final accuracy on a 20% test set of 83%.
{"license": "mit", "tags": ["chemistry"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers safetensors gpt2 text-classification chemistry license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us