Detect-Acoso-Twitter-Es – AI Model by somosnlp-hackathon-2022 | AlphaNeural AI

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somosnlp-hackathon-2022/
Detect-Acoso-Twitter-Es

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text-classification

generated_from_trainer

hackathon-pln-es/Dataset-Acoso-Twitter-Es

mrm8488/distilroberta-finetuned-tweets-hate-speech

autotrain_compatible

endpoints_compatible

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Detección de acoso en Twitter Español

This model is a fine-tuned version of mrm8488/distilroberta-finetuned-tweets-hate-speech on hackathon-pln-es/Dataset-Acoso-Twitter-Es.

It achieves the following results on the evaluation set:

Loss: 0.1628
Accuracy: 0.9167

UNL: Universidad Nacional de Loja

Miembros del equipo:

Anderson Quizhpe
Luis Negrón
David Pacheco
Bryan Requenes
Paul Pasaca

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
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6732	1.0	27	0.3797	0.875
0.5537	2.0	54	0.3242	0.9167
0.5218	3.0	81	0.2879	0.9167
0.509	4.0	108	0.2606	0.9167
0.4196	5.0	135	0.1628	0.9167

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6