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roberta-base-bne-finetuned-hate-speech-spanish – AI Model by juliowaissman | AlphaNeural AI

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juliowaissman/
roberta-base-bne-finetuned-hate-speech-spanish

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text-classification

generated_from_trainer

BSC-LT/roberta-base-bne

autotrain_compatible

endpoints_compatible

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roberta-base-bne-finetuned-hate-speech-spanish

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4372
eval_accuracy: 0.8416
eval_runtime: 350.8995
eval_samples_per_second: 32.325
eval_steps_per_second: 3.235
epoch: 1.0
step: 2000

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.35.0
Pytorch 1.13.0+cu117
Datasets 2.14.6
Tokenizers 0.14.1