You can deploy this model and start earning money today!

OTAR3088/
CeLLaTe-ner-2class-bioformer16l-baseline

Name: CeLLaTe-ner-2class-bioformer16l-baseline
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

Views

No views yet

CeLLaTe-ner-bioformer16l-baseline

This model is a fine-tuned version of bioformers/bioformer-16l on the OTAR3088/CeLLaTe_V3.2_contracted_ent_IOB dataset. It achieves the following results on the evaluation set:

Loss: 0.0636
Precision: 0.8151
Recall: 0.7415
F1: 0.7766
Accuracy: 0.9825

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2578	1.0	263	0.0759	0.5637	0.6534	0.6052	0.9716
0.0494	2.0	526	0.0644	0.7969	0.7142	0.7533	0.9817
0.0331	3.0	789	0.0635	0.8151	0.7415	0.7766	0.9825
0.0249	4.0	1052	0.0687	0.8192	0.7317	0.7730	0.9823
0.02	5.0	1315	0.0696	0.8031	0.7460	0.7735	0.9824
0.0157	6.0	1578	0.0744	0.8005	0.7321	0.7648	0.9820

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

OTAR3088/CeLLaTe-ner-2class-bioformer16l-baseline

CeLLaTe-ner-bioformer16l-baseline

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OTAR3088/
CeLLaTe-ner-2class-bioformer16l-baseline