distilbert-base-uncased-finetuned-imdb

HassanRaof/distilbert-base-uncased-finetuned-imdb

distilbert-base-uncased-finetuned-imdb is a fill-mask model from HassanRaof. 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 23, 2026
Updated: Apr 24, 2026
SHA: b9fa8920

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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: 2.4007
Model Preparation Time: 0.0023

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
2.6736	1.0	157	2.5002	0.0023
2.5777	2.0	314	2.4395	0.0023
2.5084	3.0	471	2.4605	0.0023
2.4953	4.0	628	2.3743	0.0023
2.4732	5.0	785	2.4122	0.0023
2.4564	6.0	942	2.4007	0.0023

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 23, 2026
Updated: Apr 24, 2026