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distillBert_imdb_ft
nijiawei123/distillBert_imdb_ft
distillBert_imdb_ft is a text classification model from nijiawei123. 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
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- aace6fb5
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Base models
Datasets
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. -->
distillBert_imdb_ft
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.2384
- Accuracy: 0.9316
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: 32
- seed: 42
- optimizer: Use 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2534 | 1.0 | 1563 | 0.2190 | 0.9156 |
| 0.1758 | 2.0 | 3126 | 0.2384 | 0.9316 |
Framework versions
- Transformers 4.55.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025