bert-finetuned-cross-ner-v2

P3ps/bert-finetuned-cross-ner-v2

bert-finetuned-cross-ner-v2 is a token classification model from P3ps. 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

334

Public

Repo size

1.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin431 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 8, 2023
Updated: Jun 8, 2023
SHA: 4985f5fe

Try a prompt

Model card

From the Hugging Face model README

bert-finetuned-cross-ner-v2

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1808
Precision: 0.8289
Recall: 0.8613
F1: 0.8448
Accuracy: 0.9550

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2086	1.0	2607	0.1994	0.7700	0.8138	0.7913	0.9447
0.126	2.0	5214	0.1740	0.8148	0.8495	0.8318	0.9533
0.0819	3.0	7821	0.1808	0.8289	0.8613	0.8448	0.9550

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 8, 2023
Updated: Jun 8, 2023