website_prediction_model_lora

darwinsfavorite/website_prediction_model_lora

website_prediction_model_lora is a machine learning model from darwinsfavorite. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 17, 2025
Updated: Aug 17, 2025
SHA: 08a28861

Base models

Qwen/Qwen2-0.5B-Instruct

Model card

From the Hugging Face model README

website_prediction_model_lora

This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4078
Accuracy: 0.9467

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: 8
eval_batch_size: 8
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: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	84	0.5911	0.8
No log	2.0	168	0.4506	0.92
No log	3.0	252	0.2080	0.96
No log	4.0	336	0.4371	0.9467
No log	5.0	420	0.4078	0.9467

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

Library: peft
License: apache-2.0
Created: Jun 17, 2025
Updated: Aug 17, 2025