rubert-ner-drugname

kazars24/rubert-ner-drugname

rubert-ner-drugname is a token classification model from kazars24. 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: Jul 10, 2024
Updated: Jul 12, 2024
SHA: 21bba680

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Base models

DeepPavlov/rubert-base-cased

Model card

From the Hugging Face model README

rubert-ner-drugname

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0365
Precision: 0.7055
Recall: 0.7658
F1: 0.7344
Accuracy: 0.9885

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	61	0.0524	0.7588	0.5475	0.6360	0.9850
No log	2.0	122	0.0485	0.56	0.7975	0.6580	0.9825
No log	3.0	183	0.0361	0.7029	0.7563	0.7287	0.9884
No log	4.0	244	0.0368	0.7591	0.7278	0.7431	0.9894
No log	5.0	305	0.0365	0.7055	0.7658	0.7344	0.9885

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
Languages: ru
Created: Jul 10, 2024
Updated: Jul 12, 2024