ontochem_biobert_cross_valid_2_20

oleshy/ontochem_biobert_cross_valid_2_20

ontochem_biobert_cross_valid_2_20 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: Jul 1, 2024
Updated: Jul 1, 2024
SHA: ed3d34a8

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Model card

From the Hugging Face model README

ontochem_biobert_cross_valid_2_20

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0673

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: 64
eval_batch_size: 64
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	5	0.0684
No log	2.0	10	0.0684
No log	3.0	15	0.0683
No log	4.0	20	0.0682
No log	5.0	25	0.0681
No log	6.0	30	0.0679
No log	7.0	35	0.0678
No log	8.0	40	0.0677
No log	9.0	45	0.0675
No log	10.0	50	0.0673

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: Jul 1, 2024
Updated: Jul 1, 2024