mus_promoter-finetuned-lora-NT-v2-500m-ms – AI Model by LiukG | AlphaNeural AI

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LiukG/
mus_promoter-finetuned-lora-NT-v2-500m-ms

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text-classification

generated_from_trainer

InstaDeepAI/nucleotide-transformer-v2-500m-multi-species

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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mus_promoter-finetuned-lora-NT-v2-500m-ms

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-v2-500m-multi-species on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1042
F1: 0.9863
Mcc Score: 0.9686
Accuracy: 0.9844

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: 0.0005
train_batch_size: 8
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Mcc Score	Accuracy
0.5534	0.43	100	0.5989	0.8824	0.7646	0.875
0.3298	0.85	200	0.1327	0.9730	0.9359	0.9688
0.1827	1.28	300	0.0652	0.9867	0.9683	0.9844
0.2014	1.71	400	0.2227	0.9600	0.9039	0.9531
0.1183	2.14	500	0.0556	0.9863	0.9686	0.9844
0.1052	2.56	600	0.2231	0.9577	0.9094	0.9531
0.0781	2.99	700	0.1219	0.9730	0.9359	0.9688
0.0477	3.42	800	0.1048	0.9863	0.9686	0.9844
0.025	3.85	900	0.0978	0.9863	0.9686	0.9844
0.0221	4.27	1000	0.1042	0.9863	0.9686	0.9844

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2