rajpurkar/squad_v2
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How to use TARUNBHATT/flan-t5-small-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="TARUNBHATT/flan-t5-small-finetuned-squad") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("TARUNBHATT/flan-t5-small-finetuned-squad")
model = AutoModelForQuestionAnswering.from_pretrained("TARUNBHATT/flan-t5-small-finetuned-squad", device_map="auto")This model is a fine-tuned version of google/flan-t5-small on the squad_v2 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 |
|---|---|---|---|
| 1.6998 | 1.0 | 8321 | 1.4937 |