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xml_classification – AI Model by bola23 | AlphaNeural AI
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bola23
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xml_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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xml_classification
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5508
Accuracy: 0.836
F1: 0.8328
Precision: 0.8363
Recall: 0.836
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: 8
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.6109
1.0
125
0.5508
0.836
0.8328
0.8363
0.836
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
