Downloads · 30 days
5
17% of all-time downloads
distilbert
Esteban-Ospina/distilbert
distilbert is a text classification model from Esteban-Ospina. 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
30
Public
Parameters
67M
268 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 17, 2026
- Updated
- May 17, 2026
- SHA
- 64f7ec2b
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. -->
distilbert
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6142
- F1 Macro: 0.7326
- Accuracy: 0.7861
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: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy |
|---|---|---|---|---|---|
| 0.8449 | 1.0 | 102 | 0.7460 | 0.5616 | 0.7353 |
| 0.5523 | 2.0 | 204 | 0.6432 | 0.6725 | 0.7487 |
| 0.3661 | 3.0 | 306 | 0.6329 | 0.7106 | 0.7620 |
| 0.2955 | 4.0 | 408 | 0.5991 | 0.7412 | 0.7968 |
| 0.2323 | 5.0 | 510 | 0.6142 | 0.7326 | 0.7861 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.8.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 17, 2026
- Updated
- May 17, 2026