distilbert-base-uncased-finetuned-imdb

dsfdsf2/distilbert-base-uncased-finetuned-imdb

distilbert-base-uncased-finetuned-imdb is a fill-mask model from dsfdsf2. 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: May 9, 2024
Updated: May 11, 2024
SHA: ee7f48c4

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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: 2.4894

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
2.6819	1.0	157	2.4978
2.5872	2.0	314	2.4488
2.527	3.0	471	2.4823

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 9, 2024
Updated: May 11, 2024