selfhealing-distilbert-lora

Ankiiiiitttt/selfhealing-distilbert-lora

selfhealing-distilbert-lora is a machine learning model from Ankiiiiitttt. 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: Nov 4, 2025
Updated: Nov 4, 2025
SHA: 425e9eda

Base models

Model card

From the Hugging Face model README

selfhealing-distilbert-lora

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

Loss: 0.3622
Accuracy: 0.8968

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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2401	1.0	4210	0.2744	0.9037
0.1892	2.0	8420	0.3204	0.8945
0.165	3.0	12630	0.3622	0.8968

Framework versions

PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Library: peft
License: apache-2.0
Created: Nov 4, 2025
Updated: Nov 4, 2025