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distilbert-base-uncased-finetuned-imdb-accelerate
axelloo/distilbert-base-uncased-finetuned-imdb-accelerate
distilbert-base-uncased-finetuned-imdb-accelerate is a fill-mask model from axelloo. 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
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- eb62a915
Try a prompt
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-imdb
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: 2.8384
- Model Preparation Time: 0.0019
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_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 |
|---|---|---|---|---|
| 3.1128 | 1.0 | 313 | 2.8791 | 0.0019 |
| 2.9593 | 2.0 | 626 | 2.8664 | 0.0019 |
| 2.9227 | 3.0 | 939 | 2.8244 | 0.0019 |
Perplexity results
Epoch 0: Perplexity: 10.943349334009955
Epoch 1: Perplexity: 10.438856438384667
Epoch 2: Perplexity: 10.18969382875197
Prediction tests
'>>> This is a great film.'
'>>> This is a great movie.'
'>>> This is a great idea.'
'>>> This is a great show.'
'>>> This is a great one.'
Framework versions
- Transformers 5.4.0
- Pytorch 2.11.0
- Datasets 2.21.0
- Tokenizers 0.22.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026