roberta-base-bne-ner

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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:

• eval_loss: 2.3644
• eval_model_preparation_time: 0.002
• eval_precision: 0.0074
• eval_recall: 0.0795
• eval_f1: 0.0136
• eval_accuracy: 0.0125
• eval_runtime: 127.3618
• eval_samples_per_second: 15.036
• eval_steps_per_second: 1.884
• step: 0

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: 16
• 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: 3.0

Framework versions

• Transformers 4.51.3
• Pytorch 2.5.1+cpu
• Datasets 3.6.0
• Tokenizers 0.21.0