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DNAPerceiver1_2epochs
simecek/DNAPerceiver1_2epochs
DNAPerceiver1_2epochs is a fill-mask model from simecek. 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
- perceiver
- Access
- Public
- Created
- Jun 10, 2022
- Updated
- Jun 13, 2022
- SHA
- 4a9b7019
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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. -->
DNAPerceiver1_2epochs
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3330
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 36000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3597 | 0.3 | 6000 | 1.3565 |
| 1.3566 | 0.6 | 12000 | 1.3557 |
| 1.3514 | 0.89 | 18000 | 1.3474 |
| 1.345 | 1.19 | 24000 | 1.3410 |
| 1.3386 | 1.49 | 30000 | 1.3357 |
| 1.3348 | 1.79 | 36000 | 1.3330 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- perceiver
- Created
- Jun 10, 2022
- Updated
- Jun 13, 2022