biobert-base-cased-v1.2-finetuned-ner-Concat_CRAFT_es

StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-Concat_CRAFT_es

biobert-base-cased-v1.2-finetuned-ner-Concat_CRAFT_es is a token classification model from StivenLancheros. 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: Mar 8, 2022
Updated: Mar 8, 2022
SHA: 41484e61

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Model card

From the Hugging Face model README

biobert-base-cased-v1.2-finetuned-ner-Concat_CRAFT_es

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2079
Precision: 0.8487
Recall: 0.8443
F1: 0.8465
Accuracy: 0.9693

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: 3e-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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0698	1.0	2719	0.1463	0.8132	0.8233	0.8182	0.9643
0.0321	2.0	5438	0.1612	0.8321	0.8463	0.8392	0.9681
0.0154	3.0	8157	0.1832	0.8448	0.8404	0.8426	0.9683
0.0058	4.0	10876	0.2079	0.8487	0.8443	0.8465	0.9693

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6

Task: Token Classification
Library: transformers
Type: bert
Created: Mar 8, 2022
Updated: Mar 8, 2022