bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

Alyss97/bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos is a text classification model from Alyss97. 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: Jun 28, 2023
Updated: Jun 28, 2023
SHA: 34f6f873

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Model card

From the Hugging Face model README

bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9405
F1: 0.5939

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	F1
0.9441	1.0	766	0.9419	0.5604
0.7769	2.0	1532	0.9405	0.5939

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

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