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DNA_bert_3-finetuned
Mozart-coder/DNA_bert_3-finetuned
DNA_bert_3-finetuned is a fill-mask model from Mozart-coder. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 8, 2022
- Updated
- Aug 8, 2022
- SHA
- 99499689
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
DNA_bert_3-finetuned
This model is a fine-tuned version of armheb/DNA_bert_3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5788
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: 3e-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 |
|---|---|---|---|
| 0.8244 | 1.0 | 62 | 0.6044 |
| 0.5987 | 2.0 | 124 | 0.5933 |
| 0.5915 | 3.0 | 186 | 0.5856 |
| 0.585 | 4.0 | 248 | 0.5844 |
| 0.5817 | 5.0 | 310 | 0.5818 |
| 0.5791 | 6.0 | 372 | 0.5809 |
| 0.5801 | 7.0 | 434 | 0.5807 |
| 0.5768 | 8.0 | 496 | 0.5796 |
| 0.5741 | 9.0 | 558 | 0.5790 |
| 0.574 | 10.0 | 620 | 0.5788 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Aug 8, 2022
- Updated
- Aug 8, 2022