Bio_ClinicalBERT_fold_5_ternary_v1 – AI Model by elopezlopez | AlphaNeural AI

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elopezlopez/
Bio_ClinicalBERT_fold_5_ternary_v1

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Bio_ClinicalBERT_fold_5_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: 2.0233
F1: 0.7849

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	291	0.6352	0.7286
0.5477	2.0	582	0.5965	0.7682
0.5477	3.0	873	0.7696	0.7554
0.2383	4.0	1164	1.0119	0.7631
0.2383	5.0	1455	1.1300	0.7772
0.1068	6.0	1746	1.3515	0.7734
0.0401	7.0	2037	1.4935	0.7721
0.0401	8.0	2328	1.5418	0.7875
0.0213	9.0	2619	1.6902	0.7746
0.0213	10.0	2910	1.7091	0.7721
0.014	11.0	3201	1.7422	0.7836
0.014	12.0	3492	1.8603	0.7772
0.012	13.0	3783	1.8419	0.7734
0.0104	14.0	4074	1.9616	0.7657
0.0104	15.0	4365	1.9342	0.7823
0.005	16.0	4656	1.9646	0.7746
0.005	17.0	4947	1.9943	0.7772
0.0075	18.0	5238	1.9882	0.7798
0.0071	19.0	5529	1.9909	0.7849
0.0071	20.0	5820	2.0568	0.7798
0.0029	21.0	6111	2.0508	0.7759
0.0029	22.0	6402	2.0267	0.7823
0.0047	23.0	6693	2.0534	0.7785
0.0047	24.0	6984	2.0336	0.7849
0.0014	25.0	7275	2.0233	0.7849

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1