defunct-datasets/amazon_reviews_multi
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How to use richardc7/electricidad-small-finetuned-amazon-review-classification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="richardc7/electricidad-small-finetuned-amazon-review-classification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("richardc7/electricidad-small-finetuned-amazon-review-classification")
model = AutoModelForSequenceClassification.from_pretrained("richardc7/electricidad-small-finetuned-amazon-review-classification", device_map="auto")This model is a fine-tuned version of mrm8488/electricidad-small-discriminator 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 |
|---|---|---|---|---|
| 1.0136 | 1.0 | 25000 | 1.0153 | 0.5414 |
| 0.9416 | 2.0 | 50000 | 0.9942 | 0.5576 |