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BERT_winter-6_tokenized
Mozart-coder/BERT_winter-6_tokenized
BERT_winter-6_tokenized 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
- Oct 25, 2022
- Updated
- Oct 25, 2022
- SHA
- 7c443c41
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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. -->
BERT_winter-6_tokenized
This model is a fine-tuned version of armheb/DNA_bert_6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0361
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 0.0706 | 1.0 | 262 | 0.0369 |
| 0.0388 | 2.0 | 524 | 0.0374 |
| 0.037 | 3.0 | 786 | 0.0363 |
| 0.0372 | 4.0 | 1048 | 0.0374 |
| 0.0376 | 5.0 | 1310 | 0.0351 |
| 0.0366 | 6.0 | 1572 | 0.0351 |
| 0.0377 | 7.0 | 1834 | 0.0373 |
| 0.0373 | 8.0 | 2096 | 0.0370 |
| 0.0358 | 9.0 | 2358 | 0.0359 |
| 0.0364 | 10.0 | 2620 | 0.0382 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Oct 25, 2022
- Updated
- Oct 25, 2022