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xlm-roberta-base-lora-cls-amazon-polarity
AdapterHub/xlm-roberta-base-lora-cls-amazon-polarity
xlm-roberta-base-lora-cls-amazon-polarity is a machine learning model from AdapterHub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers.
An adapter for the google-t5/t5-base model that was trained on the amazonpolarity dataset and includes a prediction head for classification.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- May 21, 2024
- Updated
- Jun 2, 2024
- SHA
- 132f48a5
Datasets
Model card
From the Hugging Face model README
Adapter lenglaender/xlm-roberta-base-lora-cls-amazon-polarity for google-t5/t5-base
An adapter for the google-t5/t5-base model that was trained on the amazon_polarity dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
Usage
First, install adapters:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("google-t5/t5-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-lora-cls-amazon-polarity", source="hf", set_active=True)
Architecture & Training
LoRA has r=8 and alpha=8 and was trained with dropout=0.1
Evaluation results
Accuracy on Amazon polarity dataset: 95.91%
Author Information
- Library
- adapter-transformers
- Created
- May 21, 2024
- Updated
- Jun 2, 2024