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dusersad12/
SweepBestModel-Repo

Name: SweepBestModel-Repo
Rating: 2.5 (21 reviews)

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SweepBestModel

Overview

This model was selected from a hyperparameter sweep as the best-performing run based on validation accuracy. It is a RoBERTa-based sequence classifier fine-tuned on our internal dataset.

Training Configuration

Learning Rate: 3e-5
Batch Size: 64
Epochs: 10
Best Validation Accuracy: 0.864

Benchmark Results

Benchmark	Score
MNLI (m/mm)	0.864
SST-2	0.864
QQP	0.864
QNLI	0.864
RTE	0.864
CoLA	0.864
STS-B	0.864
MRPC	0.864

Usage

python

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("SweepBestModel-Repo")
tokenizer = AutoTokenizer.from_pretrained("SweepBestModel-Repo")

Figures

dusersad12/SweepBestModel-Repo