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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: DNADebertaK6_Zebrafish |
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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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# DNADebertaK6_Zebrafish |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4958 |
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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: 5e-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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- training_steps: 600001 |
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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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| 4.1727 | 0.59 | 20000 | 1.8535 | |
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| 1.8381 | 1.18 | 40000 | 1.7512 | |
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| 1.7561 | 1.77 | 60000 | 1.7235 | |
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| 1.7281 | 2.36 | 80000 | 1.7019 | |
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| 1.7065 | 2.95 | 100000 | 1.6822 | |
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| 1.6876 | 3.54 | 120000 | 1.6639 | |
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| 1.6718 | 4.13 | 140000 | 1.6501 | |
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| 1.6562 | 4.71 | 160000 | 1.6350 | |
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| 1.6429 | 5.3 | 180000 | 1.6211 | |
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| 1.6313 | 5.89 | 200000 | 1.6102 | |
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| 1.6207 | 6.48 | 220000 | 1.6001 | |
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| 1.6099 | 7.07 | 240000 | 1.5902 | |
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| 1.6 | 7.66 | 260000 | 1.5799 | |
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| 1.5925 | 8.25 | 280000 | 1.5726 | |
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| 1.5847 | 8.84 | 300000 | 1.5645 | |
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| 1.5783 | 9.43 | 320000 | 1.5596 | |
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| 1.5712 | 10.02 | 340000 | 1.5510 | |
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| 1.5656 | 10.61 | 360000 | 1.5452 | |
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| 1.5598 | 11.2 | 380000 | 1.5410 | |
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| 1.5548 | 11.79 | 400000 | 1.5342 | |
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| 1.5497 | 12.38 | 420000 | 1.5293 | |
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| 1.546 | 12.96 | 440000 | 1.5241 | |
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| 1.5397 | 13.55 | 460000 | 1.5214 | |
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| 1.5365 | 14.14 | 480000 | 1.5164 | |
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| 1.5321 | 14.73 | 500000 | 1.5115 | |
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| 1.5285 | 15.32 | 520000 | 1.5075 | |
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| 1.5246 | 15.91 | 540000 | 1.5034 | |
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| 1.5217 | 16.5 | 560000 | 1.5029 | |
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| 1.5191 | 17.09 | 580000 | 1.4995 | |
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| 1.516 | 17.68 | 600000 | 1.4958 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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