insertion-prop-05-correct-data

adasgaleus/insertion-prop-05-correct-data

insertion-prop-05-correct-data is a token classification model from adasgaleus. 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

2% of all-time downloads

All-time downloads

345

Public

Repo size

796 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin265 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jan 2, 2023
Updated: Jan 2, 2023
SHA: 5fa83bc4

Try a prompt

Model card

From the Hugging Face model README

insertion-prop-05-correct-data

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: 0.0794
Precision: 0.9284
Recall: 0.9056
F1: 0.9169
Accuracy: 0.9689

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1815	0.32	500	0.0982	0.9159	0.8802	0.8977	0.9619
0.1113	0.64	1000	0.0833	0.9257	0.9018	0.9136	0.9676
0.1018	0.96	1500	0.0794	0.9284	0.9056	0.9169	0.9689

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

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