10_epochs_camembert_jb

bjubert/10_epochs_camembert_jb

10_epochs_camembert_jb is a token classification model from bjubert. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

385

Public

Repo size

4.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin440 MB · 99%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: camembert
Access: Public
Created: Dec 13, 2022
Updated: Dec 13, 2022
SHA: 22054d68

Try a prompt

Model card

From the Hugging Face model README

10_epochs_camembert_jb

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: 0.1070
Overall Precision: 0.8279
Overall Recall: 0.8660
Overall F1: 0.8465
Overall Accuracy: 0.9803
Er F1: 0.8617
Oc F1: 0.8347
Umanprod F1: 0.7297

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy	Er F1	Oc F1	Umanprod F1
0.2805	1.0	613	0.0797	0.7802	0.7990	0.7895	0.9749	0.8187	0.7677	0.4231
0.072	2.0	1226	0.0790	0.8060	0.8392	0.8223	0.9773	0.8458	0.8050	0.5574
0.0511	3.0	1839	0.0807	0.8139	0.8623	0.8374	0.9789	0.8583	0.8200	0.6933
0.0354	4.0	2452	0.0808	0.8097	0.8574	0.8329	0.9793	0.8589	0.8115	0.6667
0.0198	5.0	3065	0.0940	0.7936	0.8591	0.8250	0.9781	0.8426	0.8124	0.6835
0.0165	6.0	3678	0.0988	0.8350	0.8542	0.8445	0.9802	0.8656	0.8297	0.6486
0.0126	7.0	4291	0.0990	0.8292	0.8692	0.8488	0.9805	0.8682	0.8340	0.6849
0.0103	8.0	4904	0.1042	0.8246	0.8666	0.8450	0.9803	0.8630	0.8331	0.6575
0.0076	9.0	5517	0.1066	0.8195	0.8687	0.8434	0.9801	0.8593	0.8305	0.7297
0.0066	10.0	6130	0.1070	0.8279	0.8660	0.8465	0.9803	0.8617	0.8347	0.7297

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+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