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xlm-roberta-base-language-detection – AI Model by unklefedor | AlphaNeural AI
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unklefedor
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xlm-roberta-base-language-detection
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transformers
pytorch
xlm-roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Model card
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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: 0.0145
Accuracy: 0.9966
F1: 0.9966
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: 64
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
Accuracy
F1
0.2363
1.0
1422
0.0150
0.9963
0.9963
0.0116
2.0
2844
0.0145
0.9966
0.9966
Framework versions
Transformers 4.28.1
Pytorch 1.11.0
Datasets 2.12.0
Tokenizers 0.13.3
