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ClasificadorMotivoMoraDistilEspanol10-06
Arodrigo/ClasificadorMotivoMoraDistilEspanol10-06
ClasificadorMotivoMoraDistilEspanol10-06 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
- May 10, 2024
- Updated
- May 10, 2024
- SHA
- 24a7a541
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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. -->
ClasificadorMotivoMoraDistilEspanol10-06
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: 1.6023
- Accuracy: 0.472
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 |
|---|---|---|---|---|
| 1.1746 | 1.0 | 246 | 2.0754 | 0.22 |
| 1.0851 | 2.0 | 492 | 1.8376 | 0.356 |
| 0.964 | 3.0 | 738 | 1.6825 | 0.424 |
| 0.8893 | 4.0 | 984 | 1.6023 | 0.472 |
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
- distilbert
- Created
- May 10, 2024
- Updated
- May 10, 2024