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XLM_RoBERTa-Hate-Speech-Detection-8-langs-new – AI Model by christinacdl | AlphaNeural AI
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XLM_RoBERTa-Hate-Speech-Detection-8-langs-new
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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XLM_RoBERTa-Hate-Speech-Detection-8-langs-new
This model is a fine-tuned version of
xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5381
Micro F1: 0.9252
Macro F1: 0.9237
Accuracy: 0.9252
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Framework versions
Transformers 4.36.1
Pytorch 2.1.0+cu121
Datasets 2.13.1
Tokenizers 0.15.0
