nucleotide-transformer-finetuned-lora-NucleotideTransformer

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

• Loss: 0.2358
• F1 Score: 0.9363

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Score
0.6471	0.0158	100	0.3372	0.8961
0.3843	0.0316	200	0.2311	0.9029
0.3449	0.0474	300	0.2503	0.9145
0.3466	0.0632	400	0.2059	0.9211
0.2615	0.0790	500	0.2347	0.9281
0.295	0.0948	600	0.2221	0.9199
0.272	0.1107	700	0.2228	0.9303
0.2507	0.1265	800	0.2339	0.9226
0.2356	0.1423	900	0.2088	0.9388
0.1854	0.1581	1000	0.2358	0.9363

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0