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update model card README.md
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README.md
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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_newdata-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_newdata-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: 0.0378
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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: 10
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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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| 0.0669 | 1.0 | 223 | 0.0373 |
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| 0.0394 | 2.0 | 446 | 0.0398 |
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| 0.0369 | 3.0 | 669 | 0.0371 |
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| 0.0362 | 4.0 | 892 | 0.0358 |
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| 0.0383 | 5.0 | 1115 | 0.0353 |
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| 0.0365 | 6.0 | 1338 | 0.0378 |
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| 0.0366 | 7.0 | 1561 | 0.0377 |
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| 0.0373 | 8.0 | 1784 | 0.0359 |
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| 0.0372 | 9.0 | 2007 | 0.0371 |
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| 0.0377 | 10.0 | 2230 | 0.0357 |
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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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