distilbert-base-imdb

pitangent-ds/distilbert-base-imdb

distilbert-base-imdb is a text classification model from pitangent-ds. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Dec 1, 2023
Updated: Dec 11, 2023
SHA: e99ead02

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Base models

Model card

From the Hugging Face model README

distilbert-base-imdb

This model is a fine-tuned version of distilbert-base-cased on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3490
Accuracy: 0.9315
Matthews Correlation: 0.8630

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: 5e-05
train_batch_size: 32
eval_batch_size: 320
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Matthews Correlation
0.2597	1.0	1250	0.1997	0.921	0.8426
0.165	2.0	2500	0.1839	0.9291	0.8582
0.0788	3.0	3750	0.2218	0.9308	0.8617
0.0235	4.0	5000	0.3490	0.9315	0.8630
0.0123	5.0	6250	0.3721	0.9314	0.8628

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Languages: en
Created: Dec 1, 2023
Updated: Dec 11, 2023