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OTAR3088/
CeLLaTe-ner-2class-bioformer8l-baseline

Name: CeLLaTe-ner-2class-bioformer8l-baseline
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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CeLLaTe-ner-bioformer8l-baseline

This model is a fine-tuned version of bioformers/bioformer-8l on the OTAR3088/CeLLaTe_V3.2_contracted_ent_IOB dataset. It achieves the following results on the evaluation set:

Loss: 0.0634
Precision: 0.7493
Recall: 0.7352
F1: 0.7422
Accuracy: 0.9810

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
0.2842	1.0	263	0.0718	0.5595	0.6185	0.5875	0.9732
0.0526	2.0	526	0.0693	0.6856	0.6047	0.6426	0.9761
0.0338	3.0	789	0.0705	0.6229	0.6221	0.6225	0.9741
0.0262	4.0	1052	0.0637	0.7493	0.7352	0.7422	0.9810
0.0197	5.0	1315	0.0800	0.7491	0.6852	0.7157	0.9791
0.0168	6.0	1578	0.0891	0.7522	0.6530	0.6991	0.9784
0.0129	7.0	1841	0.0797	0.7033	0.7357	0.7191	0.9791

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

OTAR3088/CeLLaTe-ner-2class-bioformer8l-baseline

CeLLaTe-ner-bioformer8l-baseline

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OTAR3088/
CeLLaTe-ner-2class-bioformer8l-baseline