Downloads · 30 days
10
17% of all-time downloads
electra-base-discriminator-detect-dep
Trong-Nghia/electra-base-discriminator-detect-dep
electra-base-discriminator-detect-dep is a text classification model from Trong-Nghia. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
59
Public
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023
- SHA
- a9a7fed0
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. -->
electra-base-discriminator-detect-dep
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5410
- Accuracy: 0.738
- F1: 0.8104
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-06
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 376 | 0.5444 | 0.742 | 0.8213 |
| 0.6126 | 2.0 | 752 | 0.5450 | 0.739 | 0.8145 |
| 0.5749 | 3.0 | 1128 | 0.5410 | 0.738 | 0.8104 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- Jul 8, 2023
- Updated
- Jul 8, 2023