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distilbert-base-uncased-finetuned-imdb
YiMeng-SYSU/distilbert-base-uncased-finetuned-imdb
distilbert-base-uncased-finetuned-imdb is a fill-mask model from YiMeng-SYSU. 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.
This model is a fine-tuned version of distilbert-base-uncased on an imdb dataset. It achieves the following results on the evaluation set: - Loss: 2.2349 - Model Preparation Time: 0.0008
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 21, 2026
- Updated
- Feb 2, 2026
- SHA
- b1937c1a
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Base models
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Model card
From the Hugging Face model README
distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased on an imdb dataset. It achieves the following results on the evaluation set:
- Loss: 2.2349
- Model Preparation Time: 0.0008
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 2.4967 | 1.0 | 313 | 2.3134 | 0.0008 |
| 2.4015 | 2.0 | 626 | 2.2446 | 0.0008 |
| 2.373 | 3.0 | 939 | 2.2334 | 0.0008 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 21, 2026
- Updated
- Feb 2, 2026