distilbert-base-uncased-finetuned-imdb

ehottl/distilbert-base-uncased-finetuned-imdb

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

14% 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: Oct 10, 2024
Updated: Oct 13, 2024
SHA: 4046d9bc

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: 2.4252
Model Preparation Time: 0.0021

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	Model Preparation Time
2.3173	1.0	157	2.3981	0.0021
2.3598	2.0	314	2.3818	0.0021
2.3838	3.0	471	2.4175	0.0021

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 10, 2024
Updated: Oct 13, 2024