Downloads · 30 days
6
30% of all-time downloads
distilbert-base-uncased-finetuned-imdb
enamul16/distilbert-base-uncased-finetuned-imdb
distilbert-base-uncased-finetuned-imdb is a machine learning model from enamul16. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
20
Public
Parameters
67M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors269 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025
- SHA
- 165ad572
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: 2.5679
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: 32
- eval_batch_size: 32
- 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: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025