sentiment_analysis_model_rpsi

themohal/sentiment_analysis_model_rpsi

sentiment_analysis_model_rpsi is a machine learning model from themohal. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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At a glance

Model type: xlm-roberta
Access: Public
Created: Aug 27, 2024
Updated: Aug 28, 2024
SHA: bddf9382

Base models

cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual

Model card

From the Hugging Face model README

sentiment_analysis_model_rpsi

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5686
Accuracy: 0.8018

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7314	1.0	3378	0.6028	0.7367
0.563	2.0	6756	0.5503	0.7646
0.4859	3.0	10134	0.5316	0.7847
0.421	4.0	13512	0.5223	0.7954
0.3668	5.0	16890	0.5514	0.7973
0.3266	6.0	20268	0.5686	0.8018

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Type: xlm-roberta
Created: Aug 27, 2024
Updated: Aug 28, 2024