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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: dna_3-Pretrained
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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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# dna_3-Pretrained
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6003
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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| 0.6057 | 1.0 | 62 | 0.6032 |
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| 0.5983 | 2.0 | 124 | 0.6002 |
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| 0.5934 | 3.0 | 186 | 0.5992 |
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| 0.5853 | 4.0 | 248 | 0.5979 |
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| 0.5799 | 5.0 | 310 | 0.5982 |
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| 0.5769 | 6.0 | 372 | 0.5999 |
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| 0.5754 | 7.0 | 434 | 0.5996 |
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| 0.5713 | 8.0 | 496 | 0.6000 |
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| 0.5687 | 9.0 | 558 | 0.5988 |
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| 0.5666 | 10.0 | 620 | 0.6003 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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