mazextest2026/MyAwesomeModel-TestRepo-v2

MyAwesomeModel

Model Description

The MyAwesomeModel v2 (Step 1000) is the best performing model checkpoint from our training process, with an overall evaluation score of 0.710.

Evaluation Results

Comprehensive Benchmark Results

	Benchmark	Model1	Model2	Model1-v2	MyAwesomeModel
Core Reasoning Tasks	Math Reasoning	0.510	0.535	0.521	0.550
	Logical Reasoning	0.789	0.801	0.810	0.819
	Common Sense	0.716	0.702	0.725	0.736
Language Understanding	Reading Comprehension	0.671	0.685	0.690	0.700
	Question Answering	0.582	0.599	0.601	0.607
	Text Classification	0.803	0.811	0.820	0.828
	Sentiment Analysis	0.777	0.781	0.790	0.792
Generation Tasks	Code Generation	0.615	0.631	0.640	0.650
	Creative Writing	0.588	0.579	0.601	0.610
	Dialogue Generation	0.621	0.635	0.639	0.644
	Summarization	0.745	0.755	0.760	0.767
Specialized Capabilities	Translation	0.782	0.799	0.801	0.804
	Knowledge Retrieval	0.651	0.668	0.670	0.676
	Instruction Following	0.733	0.749	0.751	0.758
	Safety Evaluation	0.718	0.701	0.725	0.739

Performance Summary

The model achieves its best performance in:

• Text Classification: 0.828
• Logical Reasoning: 0.819
• Translation: 0.804
• Sentiment Analysis: 0.792

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("mazextest2026/MyAwesomeModel-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("mazextest2026/MyAwesomeModel-TestRepo")