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distilbert-agnews-classification-fine-tune
rogerpolo/distilbert-agnews-classification-fine-tune
distilbert-agnews-classification-fine-tune is a text classification model from rogerpolo. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 15, 2025
- Updated
- Apr 18, 2025
- SHA
- 391455be
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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-agnews-classification-fine-tune
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1723
- Accuracy: 0.9433
- F1: 0.9434
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3647 | 0.1333 | 500 | 0.2664 | 0.9133 | 0.9132 |
| 0.2271 | 0.2667 | 1000 | 0.2198 | 0.9282 | 0.9280 |
| 0.2298 | 0.4 | 1500 | 0.1978 | 0.9321 | 0.9323 |
| 0.2057 | 0.5333 | 2000 | 0.2033 | 0.9308 | 0.9309 |
| 0.1874 | 0.6667 | 2500 | 0.1816 | 0.9397 | 0.9398 |
| 0.182 | 0.8 | 3000 | 0.1771 | 0.9412 | 0.9413 |
| 0.1836 | 0.9333 | 3500 | 0.1744 | 0.9407 | 0.9406 |
| 0.1631 | 1.0667 | 4000 | 0.1720 | 0.9416 | 0.9416 |
| 0.1348 | 1.2 | 4500 | 0.1712 | 0.9449 | 0.9449 |
| 0.1342 | 1.3333 | 5000 | 0.1706 | 0.9439 | 0.9440 |
| 0.1345 | 1.4667 | 5500 | 0.1723 | 0.9433 | 0.9434 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 15, 2025
- Updated
- Apr 18, 2025