Bio_ClinicalBERT_fold_9_binary_v1 – AI Model by elopezlopez | AlphaNeural AI

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Bio_ClinicalBERT_fold_9_binary_v1

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text-classification

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autotrain_compatible

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Bio_ClinicalBERT_fold_9_binary_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: 1.6976
F1: 0.8065

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	0.4002	0.7826
0.4094	2.0	582	0.3968	0.8212
0.4094	3.0	873	0.6130	0.7984
0.1977	4.0	1164	0.5853	0.8227
0.1977	5.0	1455	0.9401	0.8143
0.0837	6.0	1746	1.1764	0.8059
0.0274	7.0	2037	1.1515	0.8112
0.0274	8.0	2328	1.2614	0.8065
0.0113	9.0	2619	1.3404	0.8002
0.0113	10.0	2910	1.3926	0.8088
0.0125	11.0	3201	1.4539	0.8010
0.0125	12.0	3492	1.5460	0.7998
0.0101	13.0	3783	1.5920	0.8060
0.0107	14.0	4074	1.5631	0.8059
0.0107	15.0	4365	1.6323	0.8020
0.0127	16.0	4656	1.6183	0.8008
0.0127	17.0	4947	1.6351	0.8033
0.0068	18.0	5238	1.5608	0.8121
0.0047	19.0	5529	1.6339	0.8141
0.0047	20.0	5820	1.6039	0.8091
0.0029	21.0	6111	1.5676	0.8085
0.0029	22.0	6402	1.6489	0.8139
0.0036	23.0	6693	1.6824	0.8087
0.0036	24.0	6984	1.6773	0.8106
0.0008	25.0	7275	1.6976	0.8065

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1