LTR_BERT_0_350_noTSD – AI Model by xhorvat9 | AlphaNeural AI

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xhorvat9/
LTR_BERT_0_350_noTSD

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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output

This model is a fine-tuned version of zhihan1996/DNA_bert_6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3966
Accuracy: 0.8492
Precision: 0.8807
Recall: 0.8283
F1: 0.8537

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.4859	0.41	500	0.4180	0.8001	0.8552	0.7506	0.7995
0.3937	0.81	1000	0.4044	0.8217	0.8871	0.7612	0.8193
0.3426	1.22	1500	0.3740	0.8340	0.8765	0.8	0.8365
0.3068	1.63	2000	0.3839	0.8398	0.8808	0.8077	0.8426
0.2757	2.04	2500	0.4260	0.8386	0.8181	0.8950	0.8548
0.2211	2.44	3000	0.3966	0.8492	0.8807	0.8283	0.8537

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Tokenizers 0.13.2