Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use sooolee/roberta-base-finetuned-squad-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooolee/roberta-base-finetuned-squad-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sooolee/roberta-base-finetuned-squad-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sooolee/roberta-base-finetuned-squad-v1") model = AutoModelForQuestionAnswering.from_pretrained("sooolee/roberta-base-finetuned-squad-v1") - Notebooks
- Google Colab
- Kaggle
Commit 路
dfd1825
1
Parent(s): 08cb5c7
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (8ee061578a9c7504d48685966da88027c5b79f86)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -2,22 +2,21 @@
|
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
-
|
| 6 |
model-index:
|
| 7 |
- name: roberta-base-finetuned-squad-v1
|
| 8 |
results:
|
| 9 |
- task:
|
| 10 |
-
type: question-answering
|
| 11 |
-
name: Question Answering
|
| 12 |
dataset:
|
| 13 |
-
|
| 14 |
-
|
| 15 |
metrics:
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
---
|
| 22 |
|
| 23 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 2 |
license: mit
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
+
base_model: roberta-base
|
| 6 |
model-index:
|
| 7 |
- name: roberta-base-finetuned-squad-v1
|
| 8 |
results:
|
| 9 |
- task:
|
| 10 |
+
type: question-answering
|
| 11 |
+
name: Question Answering
|
| 12 |
dataset:
|
| 13 |
+
name: SQUAD
|
| 14 |
+
type: squad
|
| 15 |
metrics:
|
| 16 |
+
- type: f1
|
| 17 |
+
value: 92.296
|
| 18 |
+
- type: exact_match
|
| 19 |
+
value: 86.045
|
|
|
|
| 20 |
---
|
| 21 |
|
| 22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|