roberta-name-change-classification-finned

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1279

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: 32
• eval_batch_size: 32
• 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
• lr_scheduler_warmup_steps: 50
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.6874	1.0	9	0.6881
0.6487	2.0	18	0.6503
0.5281	3.0	27	0.3799
0.3881	4.0	36	0.2358
0.2665	5.0	45	0.1917
0.2381	6.0	54	0.2277
0.2056	7.0	63	0.1880
0.1752	8.0	72	0.1693
0.1527	9.0	81	0.1397
0.244	10.0	90	0.2314
0.1534	11.0	99	0.1358
0.1595	12.0	108	0.1279
0.157	13.0	117	0.1317
0.1324	14.0	126	0.1348

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0