Downloads · 30 days
12
29% of all-time downloads
deberta-large-ReqORNot
kwang123/deberta-large-ReqORNot
deberta-large-ReqORNot is a text classification model from kwang123. 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
41
Public
Parameters
435M
1.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.7 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024
- SHA
- d215a5a2
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-large-ReqORNot
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5297
- Accuracy: 0.9135
- Weighted precision: 0.9135
- Weighted recall: 0.9135
- Weighted f1: 0.9134
- Macro precision: 0.9135
- Macro recall: 0.9128
- Macro f1: 0.9131
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: 3
- eval_batch_size: 3
- 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 | Weighted precision | Weighted recall | Weighted f1 | Macro precision | Macro recall | Macro f1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.4826 | 1.0 | 1896 | 0.4286 | 0.9020 | 0.9020 | 0.9020 | 0.9019 | 0.9018 | 0.9014 | 0.9016 |
| 0.3429 | 2.0 | 3792 | 0.4274 | 0.9077 | 0.9091 | 0.9077 | 0.9078 | 0.9076 | 0.9089 | 0.9076 |
| 0.1299 | 3.0 | 5688 | 0.5297 | 0.9135 | 0.9135 | 0.9135 | 0.9134 | 0.9135 | 0.9128 | 0.9131 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024