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sentiment-classification-ag-news-distilbert-base-uncased-finetuned
Arawat99/sentiment-classification-ag-news-distilbert-base-uncased-finetuned
sentiment-classification-ag-news-distilbert-base-uncased-finetuned is a text classification model from Arawat99. 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
- Jul 1, 2025
- Updated
- Jul 7, 2025
- SHA
- 41e62b9f
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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. -->
my_model_checkpoints
This model is a fine-tuned version of distilbert-base-uncased on ag_news. It achieves the following results on the evaluation set:
- Loss: 0.2015
- Accuracy: 0.9422
- F1 Macro: 0.9423
- F1 Weighted: 0.9423
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|
| 0.1532 | 1.0 | 1875 | 0.2167 | 0.9322 | 0.9323 | 0.9323 |
| 0.0858 | 2.0 | 3750 | 0.1913 | 0.9413 | 0.9414 | 0.9414 |
| 0.0682 | 3.0 | 5625 | 0.2015 | 0.9422 | 0.9423 | 0.9423 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 1, 2025
- Updated
- Jul 7, 2025