MyAwesomeModel — step 1000

This repository contains the highest-scoring checkpoint found in the supplied MyAwesomeModel workspace. Ten checkpoints (steps 100 through 1000) were compared with the workspace's bundled evaluation functions. Step 1000 achieved the best weighted score: 0.710 (step 900 was second at 0.700).

Detailed evaluation results

The scores below were retrieved from the workspace's bundled benchmark calculators for checkpoints/step_1000. Each value is the benchmark's eval_accuracy, reported on a 0–1 scale and rounded to three decimal places. All 15 configured benchmarks are included.

Benchmark	eval_accuracy
Math reasoning	0.550
Logical reasoning	0.819
Common sense	0.736
Reading comprehension	0.700
Question answering	0.607
Text classification	0.828
Sentiment analysis	0.792
Code generation	0.650
Creative writing	0.610
Dialogue generation	0.644
Summarization	0.767
Translation	0.804
Knowledge retrieval	0.676
Instruction following	0.758
Safety evaluation	0.739
Weighted overall	0.710

The weighted overall score was calculated by the workspace evaluation script. It uses weights of 1.2 for math and logical reasoning; 1.1 for code generation, question answering, instruction following, and safety evaluation; 0.9 for text classification, sentiment analysis, and creative writing; and 1.0 for the remaining benchmarks. Step 1000 was selected because it had the highest workspace evaluation score among all discovered checkpoints (step_100 through step_1000).

Important limitation

The supplied pytorch_model.bin is a 23-byte placeholder containing the text ...dummy binary data...; it is not a loadable trained model. The repository is therefore an archival demonstration checkpoint. config.json identifies the intended architecture as BertModel.