Downloads · 30 days
13
3% of all-time downloads
bert-tweeteval-distilbert
bdanko/bert-tweeteval-distilbert
bert-tweeteval-distilbert is a text classification model from bdanko. 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
393
Public
Parameters
67M
9.6 GB 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 6, 2026
- SHA
- 01d455b7
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. -->
bert-tweeteval-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3856
- Accuracy: 0.7701
- F1: 0.7191
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: 100
- seed: 15179996
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6482 | 1.0 | 204 | 0.6140 | 0.7834 | 0.7183 |
| 0.4896 | 2.0 | 408 | 0.6577 | 0.7620 | 0.7002 |
| 0.3321 | 3.0 | 612 | 0.6471 | 0.7834 | 0.7244 |
| 0.1805 | 4.0 | 816 | 0.8309 | 0.7754 | 0.7145 |
| 0.0903 | 5.0 | 1020 | 0.9430 | 0.7647 | 0.7207 |
| 0.0523 | 6.0 | 1224 | 1.0135 | 0.7834 | 0.7260 |
| 0.0474 | 7.0 | 1428 | 1.1707 | 0.7567 | 0.7056 |
| 0.0514 | 8.0 | 1632 | 1.2040 | 0.7701 | 0.7232 |
| 0.0129 | 9.0 | 1836 | 1.3856 | 0.7701 | 0.7191 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 4, 2026
- Updated
- Mar 6, 2026