results_multilabel_lora

grklilith/results_multilabel_lora

results_multilabel_lora is a machine learning model from grklilith. 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: Mar 27, 2025
Updated: Mar 27, 2025
SHA: 45a562c9

Base models

Model card

From the Hugging Face model README

results_multilabel_lora

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

Loss: 0.3776
Exact Match Accuracy: 0.76

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match Accuracy
No log	1.0	50	0.4173	0.75
No log	2.0	100	0.3948	0.75
No log	3.0	150	0.3874	0.76
No log	4.0	200	0.3834	0.76
No log	5.0	250	0.3807	0.76
No log	6.0	300	0.3797	0.76
No log	7.0	350	0.3788	0.76
No log	8.0	400	0.3779	0.76
No log	9.0	450	0.3777	0.76
0.3811	10.0	500	0.3776	0.76

Framework versions

PEFT 0.14.0
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

Library: peft
License: apache-2.0
Created: Mar 27, 2025
Updated: Mar 27, 2025