Downloads · 30 days
3
13% of all-time downloads
distilbert_agnews_padding80model
Realgon/distilbert_agnews_padding80model
distilbert_agnews_padding80model is a text classification model from Realgon. 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
24
Public
Repo size
5.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 28, 2023
- Updated
- Nov 30, 2023
- SHA
- cbf1a201
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. -->
distilbert_agnews_padding80model
This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.6430
- Accuracy: 0.9454
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1898 | 1.0 | 7500 | 0.1891 | 0.9404 |
| 0.142 | 2.0 | 15000 | 0.1977 | 0.9436 |
| 0.1261 | 3.0 | 22500 | 0.2154 | 0.9470 |
| 0.0881 | 4.0 | 30000 | 0.2706 | 0.9462 |
| 0.0656 | 5.0 | 37500 | 0.2971 | 0.9397 |
| 0.045 | 6.0 | 45000 | 0.3819 | 0.9393 |
| 0.0377 | 7.0 | 52500 | 0.4230 | 0.9380 |
| 0.0269 | 8.0 | 60000 | 0.4504 | 0.9412 |
| 0.0284 | 9.0 | 67500 | 0.4358 | 0.9432 |
| 0.0155 | 10.0 | 75000 | 0.4849 | 0.9412 |
| 0.0159 | 11.0 | 82500 | 0.5002 | 0.9430 |
| 0.0112 | 12.0 | 90000 | 0.5023 | 0.9418 |
| 0.007 | 13.0 | 97500 | 0.4904 | 0.9425 |
| 0.0082 | 14.0 | 105000 | 0.5366 | 0.9457 |
| 0.005 | 15.0 | 112500 | 0.5462 | 0.9438 |
| 0.0046 | 16.0 | 120000 | 0.5607 | 0.9439 |
| 0.001 | 17.0 | 127500 | 0.5958 | 0.9441 |
| 0.0038 | 18.0 | 135000 | 0.6113 | 0.9459 |
| 0.0009 | 19.0 | 142500 | 0.6338 | 0.9463 |
| 0.0002 | 20.0 | 150000 | 0.6430 | 0.9454 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 28, 2023
- Updated
- Nov 30, 2023