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binary_model – AI Model by PedroTC | AlphaNeural AI | AlphaNeural AI
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binary_model
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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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binary_model
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: 1.8011
Accuracy: 0.6198
F1: 0.6201
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Use 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: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0312
33.2623
100
1.8011
0.6198
0.6201
Framework versions
Transformers 4.50.3
Pytorch 2.2.1
Datasets 3.5.0
Tokenizers 0.21.1
