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clasificador-amazonproducts2
bhpardo/clasificador-amazonproducts2
clasificador-amazonproducts2 is a text classification model from bhpardo. 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
- bert
- Access
- Public
- Created
- Feb 7, 2023
- Updated
- Feb 7, 2023
- SHA
- 1fabdc22
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Datasets
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. -->
clasificador-amazonproducts2
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 1.2356
- Accuracy: 0.5563
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2045 | 1.0 | 658 | 1.0496 | 0.5845 |
| 0.9569 | 2.0 | 1316 | 1.0380 | 0.5704 |
| 0.7637 | 3.0 | 1974 | 1.2356 | 0.5563 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 7, 2023
- Updated
- Feb 7, 2023