camembert-ner-lr10e6

hdty/camembert-ner-lr10e6

camembert-ner-lr10e6 is a token classification model from hdty. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: camembert
Access: Public
Created: Dec 13, 2022
Updated: Dec 13, 2022
SHA: 9183f4f5

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Model card

From the Hugging Face model README

camembert-ner-lr10e6

This model is a fine-tuned version of Jean-Baptiste/camembert-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4541
Overall Precision: 0.3799
Overall Recall: 0.4559
Overall F1: 0.4144
Overall Accuracy: 0.9163
Humanprod F1: 0.0
Loc F1: 0.3266
Org F1: 0.0323
Per F1: 0.5821

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-06
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy	Humanprod F1	Loc F1	Org F1	Per F1
0.9048	1.0	613	0.4945	0.3748	0.4036	0.3887	0.9151	0.0	0.3447	0.0318	0.5020
0.5001	2.0	1226	0.4541	0.3799	0.4559	0.4144	0.9163	0.0	0.3266	0.0323	0.5821

Framework versions

Transformers 4.25.1
Pytorch 1.7.1+cpu
Datasets 2.7.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: camembert
License: mit
Created: Dec 13, 2022
Updated: Dec 13, 2022