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bertin-roberta-base-spanish-finetuned-tass-v2
JDagoberto/bertin-roberta-base-spanish-finetuned-tass-v2
bertin-roberta-base-spanish-finetuned-tass-v2 is a machine learning model from JDagoberto. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 13, 2025
- Updated
- Apr 13, 2025
- SHA
- 6a31571d
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. -->
bertin-roberta-base-spanish-finetuned-tass-v2
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2433
- Accuracy: 0.6607
- Precision: 0.6756
- Recall: 0.6607
- F1: 0.6649
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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|---|---|---|---|
| 0.7637 | 1.0 | 401 | 0.8079 | 0.6525 | 0.6550 | 0.6525 | 0.6517 |
| 0.5027 | 2.0 | 802 | 0.8769 | 0.6574 | 0.6723 | 0.6574 | 0.6617 |
| 0.2845 | 3.0 | 1203 | 1.2433 | 0.6607 | 0.6756 | 0.6607 | 0.6649 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.13.3
- Type
- roberta
- License
- cc-by-4.0
- Created
- Apr 13, 2025
- Updated
- Apr 13, 2025