xlm-roberta-base-ner
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1277
- Precision: 0.8683
- Recall: 0.8787
- F1: 0.8735
- Accuracy: 0.9812
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1
- Datasets 3.5.1
- Tokenizers 0.21.1
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Model tree for Barandelaa/fine_tunning_P3-ner
Base model
FacebookAI/xlm-roberta-base