my-awesome-model-step-1000

sadSD13213/my-awesome-model-step-1000

my-awesome-model-step-1000 is a feature extraction model from sadSD13213. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.

This model repository contains the best checkpoint selected from the workspace checkpoints based on the highest evaluation score / evalaccuracy-equivalent metric among available checkpoints.

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At a glance

Task: Feature Extraction
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 26, 2026
Updated: Aug 26, 2026
SHA: 362b8da4

Model card

From the Hugging Face model README

MyAwesomeModel Checkpoint: step_1000

This model repository contains the best checkpoint selected from the workspace checkpoints based on the highest evaluation score / eval_accuracy-equivalent metric among available checkpoints.

Selected Checkpoint

Checkpoint directory: checkpoints/step_1000
Training step: 1000
Model type: bert
Architecture: BertModel

Evaluation Results

Scores are reported to three decimal places for all 15 benchmark categories.

Benchmark	eval_accuracy
math_reasoning	0.550
logical_reasoning	0.819
code_generation	0.650
question_answering	0.607
reading_comprehension	0.700
common_sense	0.736
text_classification	0.828
sentiment_analysis	0.792
dialogue_generation	0.644
summarization	0.761
translation	0.728
knowledge_retrieval	0.649
creative_writing	0.827
instruction_following	0.625
safety_evaluation	0.793

Overall Score

Weighted overall score: 0.710

The overall score uses the evaluation pipeline weights with slight emphasis on reasoning and related capability benchmarks.

Files

config.json
pytorch_model.bin
README.md

Task: Feature Extraction
Library: transformers
Type: bert
License: mit
Created: Aug 26, 2026
Updated: Aug 26, 2026