distilbert-base-cased-finetuned-ner_0301_J_DATA

morganchen1007/distilbert-base-cased-finetuned-ner_0301_J_DATA

distilbert-base-cased-finetuned-ner_0301_J_DATA is a token classification model from morganchen1007. 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: Mar 2, 2023
Updated: Mar 2, 2023
SHA: ea0cfe11

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Model card

From the Hugging Face model README

distilbert-base-cased-finetuned-ner_0301_J_DATA

This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0356
Precision: 0.9588
Recall: 0.9664
F1: 0.9626
Accuracy: 0.9933

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2272	1.0	705	0.0711	0.8795	0.9249	0.9016	0.9777
0.0551	2.0	1410	0.0439	0.9222	0.9563	0.9389	0.9878
0.0253	3.0	2115	0.0397	0.9312	0.9563	0.9436	0.9898
0.0277	4.0	2820	0.0500	0.9492	0.9641	0.9566	0.9898
0.018	5.0	3525	0.0414	0.9524	0.9652	0.9588	0.9902
0.0154	6.0	4230	0.0383	0.9397	0.9608	0.9501	0.9892
0.0133	7.0	4935	0.0454	0.9408	0.9619	0.9512	0.9888
0.0073	8.0	5640	0.0343	0.9496	0.9709	0.9601	0.9917
0.0071	9.0	6345	0.0295	0.9524	0.9652	0.9588	0.9923
0.0053	10.0	7050	0.0307	0.9449	0.9619	0.9533	0.9929
0.0048	11.0	7755	0.0221	0.9304	0.9585	0.9442	0.9935
0.0022	12.0	8460	0.0338	0.9450	0.9630	0.9539	0.9923
0.0024	13.0	9165	0.0263	0.9578	0.9675	0.9626	0.9938
0.0017	14.0	9870	0.0345	0.9547	0.9697	0.9622	0.9935
0.0016	15.0	10575	0.0356	0.9588	0.9664	0.9626	0.9933

Framework versions

Transformers 4.20.1
Pytorch 1.13.0+cu117
Datasets 2.8.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 2, 2023
Updated: Mar 2, 2023