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xlm-roberta-base-folder – AI Model by lilycampbell | AlphaNeural AI
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lilycampbell
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xlm-roberta-base-folder
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pytorch
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
us
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xlm-roberta-base-folder
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0208
Accuracy: 0.9965
F1: 0.9965
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: 16
eval_batch_size: 16
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
Accuracy
F1
0.0597
1.0
4375
0.0258
0.9958
0.9958
0.0079
2.0
8750
0.0208
0.9965
0.9965
Framework versions
Transformers 4.34.0
Pytorch 2.6.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
