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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BERT_full-6_tokenized |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# BERT_full-6_tokenized |
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This model is a fine-tuned version of [armheb/DNA_bert_6](https://huggingface.co/armheb/DNA_bert_6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0362 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 25 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0775 | 1.0 | 284 | 0.0411 | |
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| 0.0428 | 2.0 | 568 | 0.0393 | |
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| 0.0395 | 3.0 | 852 | 0.0396 | |
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| 0.0395 | 4.0 | 1136 | 0.0374 | |
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| 0.0379 | 5.0 | 1420 | 0.0379 | |
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| 0.037 | 6.0 | 1704 | 0.0399 | |
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| 0.0368 | 7.0 | 1988 | 0.0382 | |
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| 0.0378 | 8.0 | 2272 | 0.0378 | |
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| 0.0365 | 9.0 | 2556 | 0.0362 | |
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| 0.0374 | 10.0 | 2840 | 0.0359 | |
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| 0.0372 | 11.0 | 3124 | 0.0373 | |
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| 0.0358 | 12.0 | 3408 | 0.0378 | |
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| 0.0361 | 13.0 | 3692 | 0.0385 | |
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| 0.0364 | 14.0 | 3976 | 0.0383 | |
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| 0.035 | 15.0 | 4260 | 0.0376 | |
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| 0.035 | 16.0 | 4544 | 0.0376 | |
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| 0.036 | 17.0 | 4828 | 0.0388 | |
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| 0.0365 | 18.0 | 5112 | 0.0372 | |
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| 0.0355 | 19.0 | 5396 | 0.0363 | |
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| 0.0349 | 20.0 | 5680 | 0.0378 | |
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| 0.0345 | 21.0 | 5964 | 0.0377 | |
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| 0.0349 | 22.0 | 6248 | 0.0372 | |
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| 0.035 | 23.0 | 6532 | 0.0374 | |
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| 0.0351 | 24.0 | 6816 | 0.0379 | |
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| 0.0351 | 25.0 | 7100 | 0.0374 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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