Downloads · 30 days
7
21% of all-time downloads
CR_ELECTRA_5E
Etelis/CR_ELECTRA_5E
CR_ELECTRA_5E is a text classification model from Etelis. 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
34
Public
Repo size
876 MB
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
- Nov 9, 2022
- Updated
- Nov 9, 2022
- SHA
- c61d776c
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. -->
CR_ELECTRA_5E
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3778
- Accuracy: 0.9133
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.643 | 0.33 | 50 | 0.6063 | 0.66 |
| 0.5093 | 0.66 | 100 | 0.4277 | 0.84 |
| 0.2986 | 0.99 | 150 | 0.3019 | 0.8933 |
| 0.2343 | 1.32 | 200 | 0.2910 | 0.9 |
| 0.1808 | 1.66 | 250 | 0.2892 | 0.9133 |
| 0.1922 | 1.99 | 300 | 0.3397 | 0.8867 |
| 0.1623 | 2.32 | 350 | 0.2847 | 0.92 |
| 0.1206 | 2.65 | 400 | 0.2918 | 0.9133 |
| 0.1518 | 2.98 | 450 | 0.3163 | 0.9067 |
| 0.1029 | 3.31 | 500 | 0.3667 | 0.8867 |
| 0.1133 | 3.64 | 550 | 0.3562 | 0.9067 |
| 0.0678 | 3.97 | 600 | 0.3394 | 0.9067 |
| 0.0461 | 4.3 | 650 | 0.3821 | 0.9067 |
| 0.0917 | 4.64 | 700 | 0.3774 | 0.9133 |
| 0.0633 | 4.97 | 750 | 0.3778 | 0.9133 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.3.2
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022