relation_extraction_roberta_base

gyr66/relation_extraction_roberta_base

relation_extraction_roberta_base is a machine learning model from gyr66. 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 transformers. The card lists the license as mit.

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

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At a glance

Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Dec 30, 2023
Updated: Dec 30, 2023
SHA: c0a496b4

Base models

Model card

From the Hugging Face model README

relation_extraction_roberta_base

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

Loss: 2.5120
F1: 0.4292

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1
2.8498	1.0	107	2.6698	0.0540
2.4514	2.0	214	2.2383	0.1557
2.0199	3.0	321	1.9596	0.2756
1.6452	4.0	428	1.9246	0.3251
1.2583	5.0	535	1.9095	0.3797
0.9493	6.0	642	2.2248	0.3964
0.6915	7.0	749	2.1882	0.4008
0.4993	8.0	856	2.3672	0.4258
0.354	9.0	963	2.5120	0.4292
0.262	10.0	1070	2.5574	0.4290

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

Library: transformers
Type: roberta
License: mit
Created: Dec 30, 2023
Updated: Dec 30, 2023