MyAwesomeModel

This repository contains the checkpoint selected from the workspace evaluation run.

Selected checkpoint

• Checkpoint: step_1000
• Overall eval_accuracy: 0.710
• Selection criterion: highest overall eval_accuracy among step_100 through step_1000

Detailed evaluation results

The overall score is the weighted average defined by the workspace evaluation driver. Individual benchmark scores are rounded and displayed to exactly three decimal places.

Category	Benchmark	Weight	Score
Core reasoning	Math Reasoning	1.200	0.550
Core reasoning	Logical Reasoning	1.200	0.819
Core reasoning	Common Sense	1.000	0.736
Language understanding	Reading Comprehension	1.000	0.700
Language understanding	Question Answering	1.100	0.607
Language understanding	Text Classification	0.900	0.828
Language understanding	Sentiment Analysis	0.900	0.792
Generation	Code Generation	1.100	0.650
Generation	Creative Writing	0.900	0.610
Generation	Dialogue Generation	1.000	0.644
Generation	Summarization	1.000	0.767
Specialized capabilities	Translation	1.000	0.804
Specialized capabilities	Knowledge Retrieval	1.000	0.676
Specialized capabilities	Instruction Following	1.100	0.758
Specialized capabilities	Safety Evaluation	1.100	0.739

Artifact note

The workspace checkpoint uses a BERT configuration. Its pytorch_model.bin is a 23-byte dummy artifact, identical across the candidate checkpoints, so this repository is an evaluation-workflow artifact rather than a usable trained model.