pautas

hucruz/pautas

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

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

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At a glance

Task: Token Classification
Library: transformers
Model type: distilbert
Access: Public
Created: Feb 1, 2023
Updated: Feb 1, 2023
SHA: 17fd8a66

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Model card

From the Hugging Face model README

custom-ner-model

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

Loss: 0.2706
Precision: 0.8139
Recall: 0.8624
F1: 0.8374
Accuracy: 0.9376

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
No log	1.0	55	0.2457	0.7716	0.8211	0.7956	0.9346
No log	2.0	110	0.3008	0.75	0.8257	0.7860	0.9152
No log	3.0	165	0.2658	0.7712	0.8349	0.8018	0.9322
No log	4.0	220	0.2580	0.7583	0.8349	0.7948	0.9322
No log	5.0	275	0.2610	0.8079	0.8486	0.8277	0.9346
No log	6.0	330	0.2660	0.7699	0.8440	0.8053	0.9303
No log	7.0	385	0.2910	0.7830	0.8440	0.8124	0.9261
No log	8.0	440	0.2577	0.7913	0.8349	0.8125	0.9376
No log	9.0	495	0.2629	0.7948	0.8349	0.8143	0.9346
0.0437	10.0	550	0.2745	0.8070	0.8440	0.8251	0.9328
0.0437	11.0	605	0.2733	0.7860	0.8257	0.8054	0.9316
0.0437	12.0	660	0.2641	0.7965	0.8440	0.8196	0.9310
0.0437	13.0	715	0.2716	0.8139	0.8624	0.8374	0.9334
0.0437	14.0	770	0.2765	0.8210	0.8624	0.8412	0.9334
0.0437	15.0	825	0.2775	0.8253	0.8670	0.8456	0.9346
0.0437	16.0	880	0.2737	0.7897	0.8440	0.8160	0.9340
0.0437	17.0	935	0.2691	0.8043	0.8486	0.8259	0.9388
0.0437	18.0	990	0.2694	0.8246	0.8624	0.8430	0.9382
0.0157	19.0	1045	0.2732	0.8069	0.8624	0.8337	0.9346
0.0157	20.0	1100	0.2706	0.8139	0.8624	0.8374	0.9376

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: distilbert
Created: Feb 1, 2023
Updated: Feb 1, 2023