Downloads · 30 days
6
21% of all-time downloads
DebertaV2-Base-100M_fwedu-A__cola
Ar4l/DebertaV2-Base-100M_fwedu-A__cola
DebertaV2-Base-100M_fwedu-A__cola is a text classification model from Ar4l. 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
28
Public
Parameters
43.5M
348 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors174 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024
- SHA
- 222815c6
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. -->
DebertaV2-Base-100M_fwedu-A__cola
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9455
- Accuracy: 0.6667
- F1: 0.7825
- Mcc: 0.0990
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: 3e-05
- 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Mcc |
|---|---|---|---|---|---|---|
| 0.6091 | 1.0 | 535 | 0.6046 | 0.6992 | 0.8230 | 0.0 |
| 0.5609 | 2.0 | 1070 | 0.6194 | 0.6686 | 0.7835 | 0.1064 |
| 0.4563 | 3.0 | 1605 | 0.7374 | 0.6686 | 0.7835 | 0.1064 |
| 0.3459 | 4.0 | 2140 | 0.9455 | 0.6667 | 0.7825 | 0.0990 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024