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bangla-meme-sarcasm-classifier-checkpoints
pallabiMukh/bangla-meme-sarcasm-classifier-checkpoints
bangla-meme-sarcasm-classifier-checkpoints is a text classification model from pallabiMukh. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026
- SHA
- de09be8e
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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. -->
bangla-meme-sarcasm-classifier-checkpoints
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4459
- Accuracy: 0.8005
- F1: 0.8182
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
- 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: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4709 | 1.0 | 1282 | 0.4734 | 0.7878 | 0.7749 |
| 0.4092 | 2.0 | 2564 | 0.4459 | 0.8005 | 0.8182 |
| 0.2948 | 3.0 | 3846 | 0.5369 | 0.7960 | 0.7846 |
| 0.2534 | 4.0 | 5128 | 0.7913 | 0.7923 | 0.7795 |
| 0.1447 | 5.0 | 6410 | 0.9074 | 0.7863 | 0.7677 |
| 0.0838 | 6.0 | 7692 | 1.0915 | 0.7882 | 0.7732 |
| 0.0989 | 7.0 | 8974 | 1.1061 | 0.7970 | 0.8020 |
| 0.0115 | 8.0 | 10256 | 1.6093 | 0.7693 | 0.7329 |
| 0.0615 | 9.0 | 11538 | 1.4467 | 0.7968 | 0.7948 |
| 0.0004 | 10.0 | 12820 | 1.4821 | 0.7964 | 0.7920 |
| 0.0027 | 11.0 | 14102 | 1.6057 | 0.7958 | 0.7926 |
| 0.0266 | 12.0 | 15384 | 1.6298 | 0.7956 | 0.7976 |
| 0.1105 | 13.0 | 16666 | 1.7722 | 0.7908 | 0.7785 |
| 0.0001 | 14.0 | 17948 | 1.8275 | 0.7925 | 0.7794 |
| 0.0021 | 15.0 | 19230 | 1.8582 | 0.7919 | 0.7783 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.23.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026