Downloads · 30 days
14
12% of all-time downloads
mdeberta-v3-base-mnli-10
tmnam20/mdeberta-v3-base-mnli-10
mdeberta-v3-base-mnli-10 is a text classification model from tmnam20. 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
117
Public
Parameters
279M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- 27fbf58e
Try a prompt
Base models
Datasets
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. -->
mdeberta-v3-base-mnli-10
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the tmnam20/VieGLUE/MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.4642
- Accuracy: 0.8431
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: 32
- eval_batch_size: 16
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5294 | 0.41 | 5000 | 0.4986 | 0.8037 |
| 0.4856 | 0.81 | 10000 | 0.4593 | 0.8250 |
| 0.3976 | 1.22 | 15000 | 0.4776 | 0.8271 |
| 0.4154 | 1.63 | 20000 | 0.4680 | 0.8222 |
| 0.2933 | 2.04 | 25000 | 0.5138 | 0.8304 |
| 0.3186 | 2.44 | 30000 | 0.4813 | 0.8320 |
| 0.3196 | 2.85 | 35000 | 0.4795 | 0.8331 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0.dev20231203+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024