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This model is a fine-tuned version of zhihan1996/DNABERT-2-117M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2180
• F1 Macro: 0.3388

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 Macro
1.4189	0.2703	100	1.5083	0.0814
1.4284	0.5405	200	1.3513	0.1275
1.2829	0.8108	300	1.3179	0.1390
1.2192	1.0811	400	1.3522	0.2334
1.3097	1.3514	500	1.2843	0.2224
1.1668	1.6216	600	1.2668	0.2025
1.1595	1.8919	700	1.2268	0.2690
1.1336	2.1622	800	1.2596	0.2985
1.063	2.4324	900	1.2370	0.2709
1.0497	2.7027	1000	1.2180	0.3388

Framework versions

• Transformers 4.41.0
• Pytorch 1.13.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1