soluciona_fm_tcv_1

<!-- 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. -->

mapping

'Accessibilitat': 0,
'Arbrat': 1,
'Desguassos i embornals': 2,
'Enllumenat públic': 3,
'Escombraries acumulades': 4,
'Fuites d\'aigua': 5,
'Grafits': 6,
'Mobiliari urbà': 7,
'Obres inacabades': 8,
'Parcs i jardins': 9,
'Plagues': 10,
'Senyalització vial': 11,
'Sorolls': 12,
'Sots a la calçada': 13,
'Vehicles abandonats': 14,
'Voreres danyades': 15

soluciona_fm_tcv_1

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

• Loss: 0.0260
• Accuracy: 0.996
• Precision: 0.9962
• Recall: 0.9960
• F1: 0.9960

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: 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: 10

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1