Downloads · 30 days
5
1% of all-time downloads
TAPE-finetuned-viralProteins
nepp1d0/TAPE-finetuned-viralProteins
TAPE-finetuned-viralProteins is a text classification model from nepp1d0. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
629
Public
Repo size
1.1 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin368 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 13, 2022
- Updated
- May 13, 2022
- SHA
- f8430140
Try a prompt
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. -->
TAPE-finetuned-viralProteins
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9033
- Accuracy: 0.87
- F1: 0.8555
- Precision: 0.8475
- Recall: 0.87
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.8845 | 1.0 | 5000 | 0.8302 | 0.85 | 0.8060 | 0.7779 | 0.85 |
| 0.8189 | 2.0 | 10000 | 0.6062 | 0.86 | 0.8255 | 0.8115 | 0.86 |
| 0.806 | 3.0 | 15000 | 0.8546 | 0.85 | 0.8095 | 0.7840 | 0.85 |
| 0.6971 | 4.0 | 20000 | 0.7660 | 0.86 | 0.8228 | 0.8027 | 0.86 |
| 0.6269 | 5.0 | 25000 | 0.7787 | 0.85 | 0.8343 | 0.8226 | 0.85 |
| 0.5771 | 6.0 | 30000 | 0.7965 | 0.855 | 0.8402 | 0.8290 | 0.855 |
| 0.5433 | 7.0 | 35000 | 0.7864 | 0.875 | 0.8573 | 0.8473 | 0.875 |
| 0.5183 | 8.0 | 40000 | 0.8292 | 0.87 | 0.8521 | 0.8425 | 0.87 |
| 0.4396 | 9.0 | 45000 | 0.8838 | 0.875 | 0.8566 | 0.8483 | 0.875 |
| 0.4019 | 10.0 | 50000 | 0.9033 | 0.87 | 0.8555 | 0.8475 | 0.87 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 13, 2022
- Updated
- May 13, 2022