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ahmed_xlm_roberta_large – AI Model by Aimu0999 | AlphaNeural AI
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Aimu0999
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ahmed_xlm_roberta_large
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
endpoints_compatible
us
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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: 0.5873
Accuracy: 0.7979
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9345
1.0
606
0.9637
0.6233
0.5856
2.0
1212
0.5906
0.7727
0.3986
3.0
1818
0.5873
0.7979
0.2829
4.0
2424
0.6198
0.8078
0.3213
5.0
3030
0.7636
0.8172
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
