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xlm-roberta-base-language-detection-finetuned-ner-finetuned-ner – AI Model by carexl8 | AlphaNeural AI
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carexl8
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xlm-roberta-base-language-detection-finetuned-ner-finetuned-ner
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-language-detection-finetuned-ner-finetuned-ner
This model is a fine-tuned version of
carexl8/xlm-roberta-base-language-detection-finetuned-ner
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Precision: 1.0000
Recall: 1.0000
F1: 1.0000
Accuracy: 1.0000
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
Precision
Recall
F1
Accuracy
0.0007
1.0
1543
0.0001
1.0000
1.0000
1.0000
1.0000
0.0003
2.0
3086
0.0001
1.0000
1.0000
1.0000
1.0000
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
