nucleotide-transformer-2.5b-1000g_ft_BioS45_1kbpHG19_DHSs_H3K27AC

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-2.5b-1000g on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4898
• F1 Score: 0.8500
• Precision: 0.8323
• Recall: 0.8685
• Accuracy: 0.8401
• Auc: 0.9177
• Prc: 0.9142

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Score	Precision	Recall	Accuracy	Auc	Prc
0.5256	0.2103	500	0.3977	0.8410	0.8028	0.8831	0.8258	0.9013	0.8993
0.4259	0.4207	1000	0.4401	0.8518	0.8001	0.9105	0.8347	0.9099	0.9048
0.4377	0.6310	1500	0.4070	0.8485	0.7814	0.9282	0.8271	0.9128	0.9097
0.4126	0.8414	2000	0.3819	0.8513	0.7879	0.9258	0.8313	0.9155	0.9141
0.3717	1.0517	2500	0.4898	0.8500	0.8323	0.8685	0.8401	0.9177	0.9142

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.19.0