rajpurkar/squad
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How to use Shubham09/Bartlarge with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="Shubham09/Bartlarge") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Shubham09/Bartlarge")
model = AutoModelForQuestionAnswering.from_pretrained("Shubham09/Bartlarge", device_map="auto")This model is a fine-tuned version of facebook/bart-large on the squad 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 |
|---|---|---|---|
| No log | 1.0 | 40 | 5.0526 |
| No log | 2.0 | 80 | 5.1995 |
| No log | 3.0 | 120 | 5.2399 |