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likhith231/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from likhith231. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors265 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the Squad dataset. It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 65 | 3.4665 |
| No log | 2.0 | 130 | 2.8392 |
| No log | 3.0 | 195 | 2.4838 |
| No log | 4.0 | 260 | 2.3667 |
| No log | 5.0 | 325 | 2.3424 |
| No log | 6.0 | 390 | 2.2847 |
| No log | 7.0 | 455 | 2.3560 |
| 2.1356 | 8.0 | 520 | 2.3636 |
| 2.1356 | 9.0 | 585 | 2.3655 |
| 2.1356 | 10.0 | 650 | 2.3978 |
question = "What is rama's friend name?"
context = "My name is rama. My friend name is raju."
from transformers import pipeline
question_answerer = pipeline("question-answering", model="likhith231/distilbert-base-uncased-finetuned-squad")
question_answerer(question=question, context=context)