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sarcasm_model
anishbandal/sarcasm_model
sarcasm_model is a text classification model from anishbandal. 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
- Aug 20, 2025
- Updated
- Aug 20, 2025
- SHA
- 12b95431
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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. -->
sarcasm_model
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: 0.4719
- Accuracy: 0.7760
- Precision: 0.7783
- Recall: 0.7719
- F1: 0.7751
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4902 | 1.0 | 25270 | 0.4750 | 0.7725 | 0.8119 | 0.7093 | 0.7571 |
| 0.4449 | 2.0 | 50540 | 0.4719 | 0.7760 | 0.7783 | 0.7719 | 0.7751 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025