FineTunedBest

Overview

FineTunedBest is a fine-tuned RoBERTa model optimized for multi-task performance across reasoning, comprehension, and generation benchmarks. This model was selected from a series of hyperparameter sweeps as the run with the highest evaluation accuracy.

Benchmark Results

Benchmark	FineTunedBest
Math Reasoning	0.550
Logical Reasoning	0.819
Reading Comprehension	0.700
Code Generation	0.650
Summarization	0.767
Instruction Following	0.758

Training Details

The model was fine-tuned with an optimized hyperparameter configuration discovered through a systematic sweep. See the associated config.json for full details.

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("FineTunedBest-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("FineTunedBest-TestRepo")

License

This model is released under the Apache 2.0 license.

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