amazon-reviews-finetuning-distilbert-base-uncased

santiviquez/amazon-reviews-finetuning-distilbert-base-uncased

amazon-reviews-finetuning-distilbert-base-uncased is a text classification model from santiviquez. 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: bert
Access: Public
Created: Sep 27, 2023
Updated: Sep 28, 2023
SHA: 38a2b4ed

Try a prompt

Base models

nlptown/bert-base-multilingual-uncased-sentiment

Datasets

amazon_reviews_multi

Model card

From the Hugging Face model README

amazon-reviews-finetuning-distilbert-base-uncased

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.5859
Accuracy: 0.7703
F1: 0.7271

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: 32
eval_batch_size: 32
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	F1
No log	1.0	188	0.5587	0.7756	0.7297
No log	2.0	376	0.5859	0.7703	0.7271

Framework versions

Transformers 4.33.2
Pytorch 2.0.0
Datasets 2.14.6.dev0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Sep 27, 2023
Updated: Sep 28, 2023