roberta-base-bne-finetuned-amazon_reviews_es_02

DevCar/roberta-base-bne-finetuned-amazon_reviews_es_02

roberta-base-bne-finetuned-amazon_reviews_es_02 is a text classification model from DevCar. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

285

Public

Parameters

125M

997 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors499 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Jul 24, 2024
Updated: Jul 24, 2024
SHA: 7728bb2e

Try a prompt

Base models

Model card

From the Hugging Face model README

roberta-base-bne-finetuned-amazon_reviews_es_02

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6035
Accuracy: 0.9295

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
0.0132	1.0	1250	0.5380	0.9285
0.0036	2.0	2500	0.6035	0.9295

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jul 24, 2024
Updated: Jul 24, 2024