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xlm-roberta-base-finetuned-language-detection – AI Model by Arezo93 | AlphaNeural AI
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Arezo93
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xlm-roberta-base-finetuned-language-detection
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-language-detection
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1487
Accuracy: 0.9509
F1: 0.9508
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3214
1.0
727
0.1715
0.9450
0.9447
0.1512
2.0
1454
0.1487
0.9509
0.9508
Framework versions
Transformers 4.35.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.15.2
