You can deploy this model and start earning money today!

oleshy/
ontochem_biobert_300_1

Name: ontochem_biobert_300_1
Availability: InStock

generated_from_trainer

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

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

ontochem_biobert_300_1

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: 0.9781

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	1.1439
No log	2.0	10	1.1388
No log	3.0	15	1.1303
No log	4.0	20	1.1182
No log	5.0	25	1.1027
No log	6.0	30	1.0839
No log	7.0	35	1.0618
No log	8.0	40	1.0368
No log	9.0	45	1.0089
No log	10.0	50	0.9781

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

oleshy/ontochem_biobert_300_1

ontochem_biobert_300_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

oleshy/
ontochem_biobert_300_1