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
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Dataset used to train bhpardo/clasificador-amazonproducts2
Evaluation results
- Accuracy on amazon_reviews_multivalidation set self-reported0.556