stanfordnlp/snli
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How to use gyeoldere/test_trainer with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="gyeoldere/test_trainer") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("gyeoldere/test_trainer")
model = AutoModelForSequenceClassification.from_pretrained("gyeoldere/test_trainer", device_map="auto")This model is a fine-tuned version of microsoft/deberta-base on the snli dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training: