distilbert-base-uncased-finetuned-imdb

tim11trade15machine/distilbert-base-uncased-finetuned-imdb

distilbert-base-uncased-finetuned-imdb is a fill-mask model from tim11trade15machine. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

67M

536 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors268 MB · 100%

At a glance

Task: Fill-Mask
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Nov 2, 2025
Updated: Nov 2, 2025
SHA: de2f0f77

Try a prompt

Base models

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 unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4892
Model Preparation Time: 0.001

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 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
2.6732	1.0	157	2.4981	0.001
2.5849	2.0	314	2.4475	0.001
2.5249	3.0	471	2.4815	0.001

Framework versions

Transformers 4.57.0
Pytorch 2.8.0
Datasets 4.2.0
Tokenizers 0.22.1

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 2, 2025
Updated: Nov 2, 2025