PlanTL-GOB-ES-roberta-base-bne-ner

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0827
• Precision: 0.8648
• Recall: 0.8696
• F1: 0.8672
• Accuracy: 0.9795

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 OptimizerNames.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: 1.0

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.4.1+cpu
• Datasets 3.5.1
• Tokenizers 0.21.1