Downloads · 30 days
6
10% of all-time downloads
fintuned-distilbert-imdb-classification
hwting/fintuned-distilbert-imdb-classification
fintuned-distilbert-imdb-classification is a text classification model from hwting. 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
59
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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- d64061cc
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. -->
fintuned-distilbert-imdb-classification
This model is a fine-tuned version of hwting/distilbert-base-uncased-finetuned-imdb on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2013
- Accuracy: 0.9298
- 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: 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
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2433 | 1.0 | 391 | 0.2010 | 0.9218 | 0.9201 |
| 0.1644 | 2.0 | 782 | 0.1867 | 0.9312 | 0.9311 |
| 0.1117 | 3.0 | 1173 | 0.2013 | 0.9298 | 0.9302 |
Framework versions
- Transformers 5.8.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026