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imdb-spoiler-distilbert
eesuan/imdb-spoiler-distilbert
imdb-spoiler-distilbert is a text classification model from eesuan. 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
- Apr 1, 2024
- Updated
- Apr 16, 2024
- SHA
- dbcc9f18
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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. -->
imdb-spoiler-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the imdb-spoiler dataset for classification. imdb-spoiler is a subset of a large-dataset for classifying whether a movie review is a spoiler or not.
It achieves the following results on the evaluation set:
- Accuracy: 0.7794
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5139 | 0.35 | 500 | 0.4960 | 0.7761 |
| 0.4732 | 0.7 | 1000 | 0.4822 | 0.7794 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 1, 2024
- Updated
- Apr 16, 2024