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Mardiyyah/
CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

Name: CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

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

Loss: 0.1077
Precision: 0.7897
Recall: 0.7607
Micro F1: 0.7749
Weighted F1: 0.7750
Macro F1: 0.7861
Accuracy: 0.9821

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: 2.1033235284928615e-05
train_batch_size: 16
eval_batch_size: 16
seed: 17
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: 0.02
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Micro F1	Weighted F1	Macro F1	Accuracy
0.158	1.0	1052	0.0647	0.7696	0.7379	0.7534	0.7538	0.7636	0.9810
0.02	2.0	2104	0.0788	0.7761	0.7209	0.7475	0.7480	0.7599	0.9804
0.01	3.0	3156	0.0915	0.7834	0.7585	0.7707	0.7707	0.7834	0.9816
0.0059	4.0	4208	0.0911	0.7831	0.7652	0.7740	0.7742	0.7831	0.9824
0.0037	5.0	5260	0.1031	0.7796	0.7513	0.7652	0.7654	0.7805	0.9818
0.0026	6.0	6312	0.1077	0.7897	0.7607	0.7749	0.7750	0.7861	0.9821
0.002	7.0	7364	0.1238	0.8114	0.7388	0.7734	0.7732	0.7846	0.9820
0.0017	8.0	8416	0.1198	0.7840	0.7581	0.7708	0.7714	0.7832	0.9817
0.0014	9.0	9468	0.1343	0.7722	0.7245	0.7476	0.7478	0.7589	0.9809

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

Mardiyyah/CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mardiyyah/
CeLLaTe-ner-2class-bioformer16l-baseline-with-gazetteers-lr_2.10