review-insight-enhanced

RealTarz/review-insight-enhanced

review-insight-enhanced is a machine learning model from RealTarz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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.json4.4 MB · 61%

At a glance

Library: peft
License: mit
Access: Public
Created: Sep 4, 2025
Updated: Sep 4, 2025
SHA: c3dcf133

Base models

Model card

From the Hugging Face model README

review-insight-enhanced

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6681
Accuracy: 0.757

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	79	0.6911	0.509
0.6947	2.0	158	0.6681	0.757

Framework versions

PEFT 0.17.1
Transformers 4.56.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0

Library: peft
License: mit
Created: Sep 4, 2025
Updated: Sep 4, 2025