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uner_por_bos – AI Model by universalner | AlphaNeural AI
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uner_por_bos
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
uner_por_bos
FacebookAI/xlm-roberta-large
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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uner_por_bos
This model is a fine-tuned version of
xlm-roberta-large
on the uner_por_bos dataset. It achieves the following results on the evaluation set:
Loss: 0.0645
Precision: 0.8934
Recall: 0.9151
F1: 0.9041
Accuracy: 0.9884
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.31.0
Pytorch 1.10.1+cu113
Datasets 2.14.4
Tokenizers 0.13.3