biobert-v1.1-text-classifier

Meli101/biobert-v1.1-text-classifier

biobert-v1.1-text-classifier is a text classification model from Meli101. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Feb 16, 2024
Updated: Feb 16, 2024
SHA: e4474d19

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Base models

dmis-lab/biobert-v1.1

Model card

From the Hugging Face model README

biobert-v1.1-text-classifier

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2669
Precision: 0.9098
Recall: 0.9091
Accuracy: 0.9089
F1: 0.9089

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: 32
eval_batch_size: 32
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	Accuracy	F1
No log	1.0	154	0.3413	0.8822	0.8813	0.8804	0.8808
No log	2.0	308	0.2918	0.8945	0.8836	0.8845	0.8848
No log	3.0	462	0.2669	0.9098	0.9091	0.9089	0.9089
0.3597	4.0	616	0.2781	0.9175	0.9174	0.9170	0.9170
0.3597	5.0	770	0.2797	0.9203	0.9206	0.9203	0.9204

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
Created: Feb 16, 2024
Updated: Feb 16, 2024