Bio_ClinicalBERT_fold_10_ternary_v1 – AI Model by elopezlopez | AlphaNeural AI

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elopezlopez/
Bio_ClinicalBERT_fold_10_ternary_v1

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Bio_ClinicalBERT_fold_10_ternary_v1

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0706
F1: 0.7748

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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	290	0.6097	0.7290
0.555	2.0	580	0.6106	0.7649
0.555	3.0	870	0.6608	0.7847
0.2449	4.0	1160	0.8894	0.7809
0.2449	5.0	1450	1.1049	0.7760
0.1055	6.0	1740	1.2951	0.7884
0.0338	7.0	2030	1.4809	0.7760
0.0338	8.0	2320	1.4751	0.7698
0.0225	9.0	2610	1.6648	0.7809
0.0225	10.0	2900	1.7174	0.7772
0.006	11.0	3190	1.7872	0.7735
0.006	12.0	3480	1.7803	0.7748
0.0161	13.0	3770	1.9302	0.7735
0.0005	14.0	4060	1.9853	0.7748
0.0005	15.0	4350	2.0043	0.7735
0.0062	16.0	4640	1.9969	0.7760
0.0062	17.0	4930	2.0173	0.7760
0.0068	18.0	5220	1.9891	0.7785
0.0034	19.0	5510	1.9951	0.7797
0.0034	20.0	5800	2.0283	0.7748
0.0049	21.0	6090	1.9985	0.7834
0.0049	22.0	6380	2.0131	0.7760
0.0011	23.0	6670	2.0526	0.7748
0.0011	24.0	6960	2.0662	0.7748
0.001	25.0	7250	2.0706	0.7748

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1