roberta-base-ner-qlorafinetune-runs-16-32

pnr-svc/roberta-base-ner-qlorafinetune-runs-16-32

roberta-base-ner-qlorafinetune-runs-16-32 is a machine learning model from pnr-svc. 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: Oct 5, 2024
Updated: Oct 5, 2024
SHA: 13def85d

Base models

FacebookAI/roberta-base

Model card

From the Hugging Face model README

roberta-base-ner-qlorafinetune-runs-16-32

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

Loss: 0.1285
Precision: 0.9447
Recall: 0.9666
F1: 0.9555
Accuracy: 0.9828

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: 0.0004
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1133	1.0	2643	0.1547	0.9349	0.9538	0.9443	0.9759
0.111	2.0	5286	0.1328	0.9391	0.9642	0.9515	0.9810
0.0912	3.0	7929	0.1285	0.9447	0.9666	0.9555	0.9828

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Oct 5, 2024
Updated: Oct 5, 2024