results

adity12345/results

results is a machine learning model from adity12345. 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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At a glance

Library: peft
License: mit
Access: Public
Created: Jul 26, 2025
Updated: Jul 26, 2025
SHA: 27f39df1

Base models

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2789
Accuracy: 0.9566
Precision: 0.9697
Recall: 0.9598
F1: 0.9648

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: 16
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3138	1.0	7515	0.2915	0.9461	0.9716	0.9403	0.9557
0.3075	2.0	15030	0.2825	0.9541	0.9720	0.9533	0.9626
0.2485	3.0	22545	0.2789	0.9566	0.9697	0.9598	0.9648

Framework versions

PEFT 0.16.0
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2

Library: peft
License: mit
Created: Jul 26, 2025
Updated: Jul 26, 2025