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ClasificadorV4
Armandodelca/ClasificadorV4
ClasificadorV4 is a text classification model from Armandodelca. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 21, 2024
- SHA
- 541a2505
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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. -->
ClasificadorV4
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1803
- eval_accuracy: 0.5668
- eval_off_by_one_accuracy: 0.949
- eval_f1: 0.5696
- eval_recall: 0.5668
- eval_runtime: 16.9577
- eval_samples_per_second: 294.851
- eval_steps_per_second: 11.794
- epoch: 2.2917
- step: 11000
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: 25
- eval_batch_size: 25
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- May 21, 2024
- Updated
- May 21, 2024