MyAwesomeModel-step1000

SD12DSA21EAS/MyAwesomeModel-step1000

MyAwesomeModel-step1000 is a machine learning model from SD12DSA21EAS. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

This model checkpoint was selected as the best performing model based on the highest overall evaluation accuracy across all benchmarks.

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At a glance

Model type: bert
Access: Public
Created: Aug 6, 2026
Updated: Aug 6, 2026
SHA: d874f51c

Model card

From the Hugging Face model README

MyAwesomeModel - Step 1000 (Best Checkpoint)

This model checkpoint was selected as the best performing model based on the highest overall evaluation accuracy across all benchmarks.

Model Selection

Best Checkpoint: step_1000
Overall Evaluation Accuracy: 0.932
Selection Criteria: Highest eval_accuracy score across all checkpoints evaluated

Detailed Evaluation Results (All 15 Benchmarks)

All scores formatted to 3 decimal places:

Benchmark	Accuracy Score
Code Generation	0.811
Common Sense	0.831
Creative Writing	0.846
Dialogue Generation	0.873
Instruction Following	0.884
Knowledge Retrieval	0.911
Logical Reasoning	0.927
Math Reasoning	0.948
Question Answering	0.969
Reading Comprehension	0.982
Safety Evaluation	0.999
Sentiment Analysis	0.999
Summarization	0.999
Text Classification	0.999
Translation	0.999

Full Checkpoint Performance Comparison

Checkpoint	Overall Eval Accuracy
step_100	0.366
step_200	0.431
step_300	0.495
step_400	0.560
step_500	0.623
step_600	0.688
step_700	0.753
step_800	0.818
step_900	0.881
step_1000	0.932

Usage

from transformers import AutoModel
model = AutoModel.from_pretrained("SD12DSA21EAS/MyAwesomeModel-step1000")

License

MIT

Type: bert
Created: Aug 6, 2026
Updated: Aug 6, 2026