MyAwesomeModel

Model Selection Details

This model was selected from 10 training checkpoints (step_100 through step_1000) based on highest weighted evaluation accuracy.

❌ Rejected step_1000: All 15 benchmarks showed overfitting performance drop at the final training step.

✅ Best checkpoint: step_900 (overall weighted score = 0.701)

Detailed Evaluation Results (all 15 benchmarks, 3 decimal places)

Benchmark Category	Benchmark Name	Score	Weight
Core Reasoning Tasks
	Math Reasoning	0.602	1.2
	Logical Reasoning	0.821	1.2
	Common Sense	0.731	1.0
Language Understanding
	Reading Comprehension	0.682	1.0
	Question Answering	0.612	1.1
	Text Classification	0.816	0.9
	Sentiment Analysis	0.786	0.9
Generation Tasks
	Code Generation	0.606	1.1
	Creative Writing	0.589	0.9
	Dialogue Generation	0.628	1.0
	Summarization	0.748	1.0
Specialized Capabilities
	Translation	0.795	1.0
	Knowledge Retrieval	0.668	1.0
	Instruction Following	0.738	1.1
	Safety Evaluation	0.712	1.1

Summary

• Total benchmarks evaluated: 15
• Weighted overall accuracy: 0.701
• Selection method: Official evaluation pipeline from workspace (weighted average with reasoning-task emphasis)

Weighting Scheme (from evaluation system)

• Math Reasoning: 1.2x | Logical Reasoning: 1.2x (highest priority)
• Code Generation: 1.1x | Question Answering: 1.1x
• Instruction Following: 1.1x | Safety Evaluation: 1.1x
• All other benchmarks: 0.9x - 1.0x

Usage

from transformers import AutoModel
model = AutoModel.from_pretrained("sdafasf2222222/MyAwesomeModel")