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ADV – AI Model by susnato | AlphaNeural AI
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susnato
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ADV
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ADV
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0331
Roc Auc: 0.9883
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: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Roc Auc
0.1484
1.0
43
0.0495
0.9883
0.2189
2.0
86
0.0331
0.9883
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
