Downloads · 30 days
4
18% of all-time downloads
distilbert-base-uncased
vivekatzerebral/distilbert-base-uncased
distilbert-base-uncased is a text classification model from vivekatzerebral. 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
22
Public
Parameters
67M
804 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jan 4, 2024
- Updated
- Jan 5, 2024
- SHA
- d4a6b1f9
Try a prompt
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-base-uncased
This model was trained from scratch on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1919
- Accuracy: 0.93
- F1: 0.9302
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|---|
| 0.0756 | 1.0 | 250 | 0.1902 | 0.93 | 0.9304 |
| 0.0641 | 2.0 | 500 | 0.1968 | 0.939 | 0.9395 |
| 0.0507 | 3.0 | 750 | 0.1919 | 0.93 | 0.9302 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.3.0.dev20240104
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jan 4, 2024
- Updated
- Jan 5, 2024