ner-bio-annotated-7-1

urbija/ner-bio-annotated-7-1

ner-bio-annotated-7-1 is a token classification model from urbija. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Sep 19, 2023
Updated: Sep 19, 2023
SHA: 471ed43e

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Model card

From the Hugging Face model README

ner-bio-annotated-7-1

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2128
Precision: 0.8028
Recall: 0.8397
F1: 0.8209
Accuracy: 0.9370

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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	67	0.2779	0.7497	0.7533	0.7515	0.9107
No log	2.0	134	0.2448	0.7718	0.7888	0.7802	0.9224
No log	3.0	201	0.2289	0.7716	0.8319	0.8006	0.9287
No log	4.0	268	0.2158	0.7995	0.8393	0.8189	0.9362
No log	5.0	335	0.2128	0.8028	0.8397	0.8209	0.9370

Framework versions

Transformers 4.30.2
Pytorch 2.0.0+cpu
Datasets 2.1.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
Created: Sep 19, 2023
Updated: Sep 19, 2023