khipu-finetuned-amazon_reviews_multi

sofia425/khipu-finetuned-amazon_reviews_multi

khipu-finetuned-amazon_reviews_multi is a text classification model from sofia425. 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: roberta
Access: Public
Created: Mar 22, 2023
Updated: Mar 22, 2023
SHA: 54b04470

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Datasets

amazon_reviews_multi

Model card

From the Hugging Face model README

khipu-finetuned-amazon_reviews_multi

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.2836
Accuracy: 0.9085

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=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2305	1.0	63	0.2953	0.895
0.196	2.0	126	0.2836	0.9085

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Mar 22, 2023
Updated: Mar 22, 2023