ontochem_biobert_v2

oleshy/ontochem_biobert_v2

ontochem_biobert_v2 is a token classification model from oleshy. 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: May 13, 2024
Updated: May 13, 2024
SHA: b4f05742

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Base models

dmis-lab/biobert-base-cased-v1.1

Model card

From the Hugging Face model README

ontochem_biobert_v2

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0312

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: 1e-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
lr_scheduler_warmup_steps: 500
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	96	0.6038
No log	2.0	192	0.0551
No log	3.0	288	0.0369
No log	4.0	384	0.0338
No log	5.0	480	0.0307
0.2606	6.0	576	0.0312

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: bert
Created: May 13, 2024
Updated: May 13, 2024