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distilbert-base-uncased-finetuned-wwm-imdb-pkcktkksh
pkcktkksh98/distilbert-base-uncased-finetuned-wwm-imdb-pkcktkksh
distilbert-base-uncased-finetuned-wwm-imdb-pkcktkksh is a fill-mask model from pkcktkksh98. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 15, 2025
- Updated
- May 19, 2025
- SHA
- 1ef0b892
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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-base-uncased-finetuned-wwm-imdb-pkcktkksh
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: 2.8934
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3831 | 1.0 | 782 | 3.1762 |
| 3.2331 | 2.0 | 1564 | 3.0950 |
| 3.1663 | 3.0 | 2346 | 3.0554 |
| 3.1182 | 4.0 | 3128 | 3.0244 |
| 3.0858 | 5.0 | 3910 | 3.0027 |
| 3.0602 | 6.0 | 4692 | 2.9821 |
| 3.0327 | 7.0 | 5474 | 2.9641 |
| 3.0029 | 8.0 | 6256 | 2.9434 |
| 2.9907 | 9.0 | 7038 | 2.9522 |
| 2.9734 | 10.0 | 7820 | 2.9366 |
| 2.9647 | 11.0 | 8602 | 2.9265 |
| 2.9446 | 12.0 | 9384 | 2.9066 |
| 2.933 | 13.0 | 10166 | 2.9123 |
| 2.9191 | 14.0 | 10948 | 2.9052 |
| 2.9073 | 15.0 | 11730 | 2.8842 |
| 2.9006 | 16.0 | 12512 | 2.8813 |
| 2.9015 | 17.0 | 13294 | 2.9061 |
| 2.8936 | 18.0 | 14076 | 2.8910 |
| 2.889 | 19.0 | 14858 | 2.8867 |
| 2.8898 | 20.0 | 15640 | 2.8702 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 15, 2025
- Updated
- May 19, 2025