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ClasificadorCorreoSoporteDistilEspanol-dataser
Arodrigo/ClasificadorCorreoSoporteDistilEspanol-dataser
ClasificadorCorreoSoporteDistilEspanol-dataser is a text classification model from Arodrigo. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024
- SHA
- e2ef1b89
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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. -->
ClasificadorCorreoSoporteDistilEspanol-dataser
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0999
- Accuracy: 0.9662
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 46 | 0.4498 | 0.8851 |
| No log | 2.0 | 92 | 0.1648 | 0.9527 |
| 0.4424 | 3.0 | 138 | 0.1062 | 0.9662 |
| 0.4424 | 4.0 | 184 | 0.0999 | 0.9662 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024