distillbert_peft_ft

pnat2024/distillbert_peft_ft

distillbert_peft_ft is a machine learning model from pnat2024. 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 apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jul 29, 2025
Updated: Jul 29, 2025
SHA: 6974d7ed

Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

distillbert_peft_ft

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

Loss: 0.2635
Accuracy: 0.8905

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2825	1.0	1563	0.2724	0.8851
0.2803	2.0	3126	0.2635	0.8905

Framework versions

PEFT 0.16.0
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2

Library: peft
License: apache-2.0
Created: Jul 29, 2025
Updated: Jul 29, 2025