distilbert-base-uncased-finetuned-imdb_nlp-course-chapter7-section2

BanUrsus/distilbert-base-uncased-finetuned-imdb_nlp-course-chapter7-section2

distilbert-base-uncased-finetuned-imdb_nlp-course-chapter7-section2 is a fill-mask model from BanUrsus. 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: Jan 10, 2024
Updated: Jan 10, 2024
SHA: 7a57bf1d

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-imdb_nlp-course-chapter7-section2

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: 2.4830

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
No log	1.0	157	2.4891
No log	2.0	314	2.4564
No log	3.0	471	2.4640

Framework versions

Transformers 4.35.2
Pytorch 1.11.0+cu102
Datasets 2.15.0
Tokenizers 0.15.0

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