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xlm-roberta-base-language-detection-disaster-twitter – AI Model by JiaJiaCen | AlphaNeural AI
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xlm-roberta-base-language-detection-disaster-twitter
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
papluca/xlm-roberta-base-language-detection
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-language-detection-disaster-twitter
This model is a fine-tuned version of
papluca/xlm-roberta-base-language-detection
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4869
F1: 0.7902
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
381
0.4407
0.7701
0.4972
2.0
762
0.4186
0.7560
0.3742
3.0
1143
0.4869
0.7902
Framework versions
Transformers 4.38.1
Pytorch 2.1.2+cpu
Datasets 2.1.0
Tokenizers 0.15.2
