Products_NER2

Atheer174/Products_NER2

Products_NER2 is a token classification model from Atheer174. Use it when you need labels on individual words, such as names. It is set up for transformers. 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

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 22, 2023
Updated: Sep 22, 2023
SHA: 9cfc085d

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Base models

Model card

From the Hugging Face model README

Products_NER2

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: 0.3482
Precision: 0.9155
Recall: 0.9208
F1: 0.9182
Accuracy: 0.9400

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2267	1.0	2470	0.1614	0.8379	0.8791	0.8580	0.9212
0.1363	2.0	4940	0.1230	0.8602	0.8968	0.8781	0.9332
0.1047	3.0	7410	0.1183	0.8808	0.9063	0.8934	0.9360
0.0931	4.0	9880	0.1139	0.8909	0.9119	0.9013	0.9387
0.085	5.0	12350	0.1153	0.8889	0.9110	0.8998	0.9390
0.0835	6.0	14820	0.1257	0.9043	0.9165	0.9104	0.9398
0.0728	7.0	17290	0.1218	0.8987	0.9149	0.9067	0.9393
0.069	8.0	19760	0.1457	0.9040	0.9154	0.9097	0.9389
0.0616	9.0	22230	0.1606	0.9090	0.9166	0.9128	0.9386
0.0559	10.0	24700	0.1726	0.9122	0.9189	0.9156	0.9397
0.0504	11.0	27170	0.1998	0.9131	0.9192	0.9161	0.9396
0.043	12.0	29640	0.2015	0.9126	0.9194	0.9160	0.9402
0.0389	13.0	32110	0.2388	0.9129	0.9195	0.9162	0.9394
0.035	14.0	34580	0.2569	0.9135	0.9202	0.9169	0.9397
0.0311	15.0	37050	0.2718	0.9156	0.9207	0.9181	0.9400
0.028	16.0	39520	0.2886	0.9158	0.9208	0.9183	0.9403
0.0246	17.0	41990	0.3054	0.9145	0.9201	0.9173	0.9392
0.0212	18.0	44460	0.3252	0.9155	0.9206	0.9180	0.9398
0.0192	19.0	46930	0.3333	0.9157	0.9210	0.9183	0.9402
0.017	20.0	49400	0.3482	0.9155	0.9208	0.9182	0.9400

Framework versions

Transformers 4.33.2
Pytorch 1.13.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 22, 2023
Updated: Sep 22, 2023