pos_test_model

natalierobbins/pos_test_model

pos_test_model is a token classification model from natalierobbins. 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. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

481

Public

Repo size

2.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin266 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 26, 2022
Updated: Jul 27, 2022
SHA: 0b9cddc7

Try a prompt

Model card

From the Hugging Face model README

pos_test_model

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: 0.1533
Accuracy: 0.9531
F1: 0.9522
Precision: 0.9577
Recall: 0.9531

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1897	1.0	1744	0.1533	0.9531	0.9522	0.9577	0.9531

Framework versions

Transformers 4.18.0
Pytorch 1.10.2
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 26, 2022
Updated: Jul 27, 2022