ontochem_biobert_cross_valid_4

oleshy/ontochem_biobert_cross_valid_4

ontochem_biobert_cross_valid_4 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. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Parameters

108M

5.2 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors431 MB · 100%

At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Jul 1, 2024
Updated: Jul 1, 2024
SHA: 2badda69

Try a prompt

Model card

From the Hugging Face model README

ontochem_biobert_cross_valid_4

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

Loss: 0.0427

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	0.0443
No log	2.0	10	0.0443
No log	3.0	15	0.0442
No log	4.0	20	0.0441
No log	5.0	25	0.0439
No log	6.0	30	0.0437
No log	7.0	35	0.0435
No log	8.0	40	0.0433
No log	9.0	45	0.0430
No log	10.0	50	0.0427

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