imdb_classification_on_25M_full_pretrained

ltuzova/imdb_classification_on_25M_full_pretrained

imdb_classification_on_25M_full_pretrained is a text classification model from ltuzova. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Apr 11, 2024
Updated: Apr 12, 2024
SHA: c145c77e

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Base models

ltuzova/amazon_domain_pretrained_model

Model card

From the Hugging Face model README

imdb_classification_on_25M_full_pretrained

This model is a fine-tuned version of ltuzova/amazon_domain_pretrained_model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2037
Accuracy: 0.9581
F1 Macro: 0.9581

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
0.1989	1.0	1250	0.2010	0.9506	0.9506
0.1212	2.0	2500	0.1789	0.9584	0.9584
0.073	3.0	3750	0.2096	0.9586	0.9586

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 11, 2024
Updated: Apr 12, 2024