ontochem_bioberti_cross_valid_1_30

oleshy/ontochem_bioberti_cross_valid_1_30

ontochem_bioberti_cross_valid_1_30 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: 6c588a14

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Model card

From the Hugging Face model README

ontochem_bioberti_cross_valid_1_30

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

Loss: 0.0570

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	0.0583
No log	2.0	10	0.0582
No log	3.0	15	0.0582
No log	4.0	20	0.0581
No log	5.0	25	0.0580
No log	6.0	30	0.0578
No log	7.0	35	0.0576
No log	8.0	40	0.0574
No log	9.0	45	0.0572
No log	10.0	50	0.0570

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