distilbert-base-uncased-finetuned-imdb

ThetaPhiPsi/distilbert-base-uncased-finetuned-imdb

distilbert-base-uncased-finetuned-imdb is a fill-mask model from ThetaPhiPsi. 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: Nov 25, 2022
Updated: Feb 17, 2025
SHA: 0f864181

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Datasets

imdb

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

Loss: 2.2489

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.4463	1.0	782	2.2692
2.3895	2.0	1564	2.2460
2.3631	3.0	2346	2.2205

Framework versions

Transformers 4.24.0
Pytorch 1.10.0
Datasets 2.7.1
Tokenizers 0.13.2

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 25, 2022
Updated: Feb 17, 2025