defunct-datasets/amazon_reviews_multi
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How to use bhpardo/clasificador-amazonproducts2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="bhpardo/clasificador-amazonproducts2") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("bhpardo/clasificador-amazonproducts2")
model = AutoModelForSequenceClassification.from_pretrained("bhpardo/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:
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The following hyperparameters were used during training:
| 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 |