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roberta_classification – AI Model by nguyentatdat | AlphaNeural AI
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roberta_classification
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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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roberta_classification
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0822
Accuracy: 0.9878
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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0637
1.0
879
0.0325
0.9889
0.0175
2.0
1758
0.0439
0.9901
0.008
3.0
2637
0.0617
0.9876
0.0035
4.0
3516
0.0726
0.9881
0.0013
5.0
4395
0.0822
0.9878
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1
