MyAwesomeModel-best-checkpoint

sdsfsfsf3435/MyAwesomeModel-best-checkpoint

MyAwesomeModel-best-checkpoint is a feature extraction model from sdsfsfsf3435. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.

Selected checkpoint: checkpoints/step1000.

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At a glance

Task: Feature Extraction
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 26, 2026
Updated: Sep 14, 2026
SHA: 891e9c0f

Model card

From the Hugging Face model README

MyAwesomeModel-best-checkpoint

Selected checkpoint: checkpoints/step_1000.

Selection basis: highest eval_accuracy, mapped in the workspace evaluation logic to text_classification_score.

Best eval_accuracy: 0.828.

Detailed Evaluation Results for All 15 Benchmarks

Scores are computed from the workspace evaluation logic and rounded to 3 decimal places.

Checkpoint	math_reasoning	code_generation	text_classification	sentiment_analysis	question_answering	logical_reasoning	common_sense	reading_comprehension	dialogue_generation	summarization	translation	knowledge_retrieval	creative_writing	instruction_following	safety_evaluation
step_100	0.345	0.350	0.517	0.617	0.475	0.319	0.530	0.475	0.438	0.517	0.640	0.529	0.328	0.550	0.628
step_200	0.383	0.421	0.603	0.675	0.510	0.375	0.583	0.529	0.493	0.600	0.700	0.570	0.388	0.610	0.650
step_300	0.415	0.475	0.667	0.710	0.533	0.445	0.621	0.569	0.530	0.650	0.733	0.596	0.436	0.650	0.668
step_400	0.443	0.517	0.714	0.733	0.550	0.525	0.650	0.600	0.557	0.683	0.755	0.615	0.475	0.679	0.683
step_500	0.467	0.550	0.750	0.750	0.564	0.605	0.672	0.625	0.579	0.707	0.769	0.631	0.507	0.700	0.696
step_600	0.487	0.577	0.776	0.762	0.575	0.675	0.690	0.645	0.596	0.725	0.780	0.643	0.534	0.717	0.707
step_700	0.506	0.600	0.795	0.772	0.584	0.731	0.705	0.663	0.611	0.739	0.788	0.653	0.557	0.730	0.717
step_800	0.522	0.619	0.809	0.780	0.593	0.773	0.717	0.677	0.624	0.750	0.795	0.662	0.577	0.741	0.725
step_900	0.537	0.636	0.820	0.786	0.600	0.801	0.727	0.689	0.634	0.759	0.800	0.670	0.595	0.750	0.732
step_1000 (best)	0.550	0.650	0.828	0.792	0.607	0.819	0.736	0.700	0.644	0.767	0.804	0.676	0.610	0.758	0.739

Best Checkpoint Benchmark Breakdown

Benchmark	Score
math_reasoning	0.550
code_generation	0.650
text_classification	0.828
sentiment_analysis	0.792
question_answering	0.607
logical_reasoning	0.819
common_sense	0.736
reading_comprehension	0.700
dialogue_generation	0.644
summarization	0.767
translation	0.804
knowledge_retrieval	0.676
creative_writing	0.610
instruction_following	0.758
safety_evaluation	0.739

Task: Feature Extraction
Library: transformers
Type: bert
License: mit
Created: Aug 26, 2026
Updated: Sep 14, 2026