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kimsiun/
ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad

Name: ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad
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generated_from_trainer

autotrain_compatible

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ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad

This model is a fine-tuned version of dmis-lab/biobert-large-cased-v1.1-squad on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1937
F1: 0.8352

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	59	0.6381	0.5429
No log	2.0	118	0.4498	0.8350
No log	3.0	177	0.6399	0.8247
No log	4.0	236	0.6723	0.8444
No log	5.0	295	1.1235	0.7901
No log	6.0	354	1.0581	0.8298
No log	7.0	413	1.2403	0.8
No log	8.0	472	1.1142	0.8298
0.1533	9.0	531	1.1338	0.8222
0.1533	10.0	590	1.1343	0.8478
0.1533	11.0	649	1.1471	0.8478
0.1533	12.0	708	1.1670	0.8478
0.1533	13.0	767	1.1825	0.8352
0.1533	14.0	826	1.1912	0.8352
0.1533	15.0	885	1.1937	0.8352

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2

kimsiun/ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad

ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kimsiun/
ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad