Downloads · 30 days
18
5% of all-time downloads
deberta-v3-small-isarcasm
w11wo/deberta-v3-small-isarcasm
deberta-v3-small-isarcasm is a text classification model from w11wo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
399
Public
Parameters
142M
3.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin568 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Mar 9, 2025
- SHA
- e4c8a5ed
Try a prompt
Base models
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. -->
deberta-v3-small-isarcasm
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6010
- Accuracy: 0.7723
- F1: 0.4481
- Precision: 0.3923
- Recall: 0.5223
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 429 | 0.6567 | 0.8286 | 0.0 | 0.0 | 0.0 |
| 0.6792 | 2.0 | 858 | 0.5566 | 0.8286 | 0.625 | 0.5 | 0.8333 |
| 0.5916 | 3.0 | 1287 | 1.6155 | 0.7714 | 0.0 | 0.0 | 0.0 |
| 0.4278 | 4.0 | 1716 | 1.9964 | 0.7429 | 0.1818 | 0.2 | 0.1667 |
| 0.2417 | 5.0 | 2145 | 2.1995 | 0.7714 | 0.2 | 0.25 | 0.1667 |
Framework versions
- Transformers 4.32.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Dec 14, 2023
- Updated
- Mar 9, 2025