dna_bert_6_kmers-finetuned
This model is a fine-tuned version of armheb/DNA_bert_6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0034
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0296 | 1.0 | 250 | 0.0058 |
| 0.0025 | 2.0 | 500 | 0.0042 |
| 0.0017 | 3.0 | 750 | 0.0039 |
| 0.0014 | 4.0 | 1000 | 0.0034 |
| 0.0011 | 5.0 | 1250 | 0.0034 |
| 0.0009 | 6.0 | 1500 | 0.0034 |
| 0.0008 | 7.0 | 1750 | 0.0034 |
| 0.0007 | 8.0 | 2000 | 0.0035 |
| 0.0006 | 9.0 | 2250 | 0.0034 |
| 0.0007 | 10.0 | 2500 | 0.0034 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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