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soluciona_fm_tcv_3_trainval
adriansanz/soluciona_fm_tcv_3_trainval
soluciona_fm_tcv_3_trainval is a text classification model from adriansanz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- 4b17b691
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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_3_trainval
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: 0.0294
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 2.3792 | 1.0 | 738 | 0.3947 | 0.89 | 0.9001 | 0.8893 | 0.8868 |
| 0.4806 | 2.0 | 1476 | 0.0442 | 0.992 | 0.9922 | 0.9919 | 0.9920 |
| 0.032 | 3.0 | 2214 | 0.0294 | 0.996 | 0.9962 | 0.9960 | 0.9960 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024