Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#2
by
autoevaluator
HF staff
- opened
README.md
CHANGED
@@ -1,39 +1,3 @@
|
|
1 |
-
## Albert Transformer on SQuAD-v2
|
2 |
-
|
3 |
-
Training is done on the [SQuAD_v2](https://rajpurkar.github.io/SQuAD-explorer/) dataset. The model can be accessed via HuggingFace:
|
4 |
-
|
5 |
-
## Model Specifications
|
6 |
-
|
7 |
-
We have used the following parameters:
|
8 |
-
|
9 |
-
- num_train_epochs=0.25,
|
10 |
-
- per_device_train_batch_size=5,
|
11 |
-
- per_device_eval_batch_size=10,
|
12 |
-
- warmup_steps=100,
|
13 |
-
- weight_decay=0.01,
|
14 |
-
|
15 |
-
## Usage Specifications
|
16 |
-
|
17 |
-
```python
|
18 |
-
from transformers import AutoTokenizer,AutoModelForQuestionAnswering
|
19 |
-
from transformers import pipeline
|
20 |
-
model=AutoModelForQuestionAnswering.from_pretrained('abhilash1910/albert-squad-v2')
|
21 |
-
tokenizer=AutoTokenizer.from_pretrained('abhilash1910/albert-squad-v2')
|
22 |
-
nlp_QA=pipeline('question-answering',model=model,tokenizer=tokenizer)
|
23 |
-
QA_inp={
|
24 |
-
'question': 'How many parameters does Bert large have?',
|
25 |
-
'context': 'Bert large is really big... it has 24 layers, for a total of 340M parameters.Altogether it is 1.34 GB so expect it to take a couple minutes to download to your Colab instance.'
|
26 |
-
}
|
27 |
-
result=nlp_QA(QA_inp)
|
28 |
-
result
|
29 |
-
```
|
30 |
-
## Result
|
31 |
-
|
32 |
-
The result is:
|
33 |
-
|
34 |
-
|
35 |
-
{'answer': '340M', 'end': 65, 'score': 0.14847151935100555, 'start': 61}
|
36 |
-
|
37 |
---
|
38 |
language:
|
39 |
- en
|
@@ -52,12 +16,14 @@ model-index:
|
|
52 |
config: squad_v2
|
53 |
split: validation
|
54 |
metrics:
|
55 |
-
-
|
56 |
-
type: exact_match
|
57 |
value: 23.6563
|
|
|
58 |
verified: true
|
59 |
-
|
60 |
-
|
61 |
value: 29.3808
|
|
|
62 |
verified: true
|
|
|
63 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
language:
|
3 |
- en
|
|
|
16 |
config: squad_v2
|
17 |
split: validation
|
18 |
metrics:
|
19 |
+
- type: exact_match
|
|
|
20 |
value: 23.6563
|
21 |
+
name: Exact Match
|
22 |
verified: true
|
23 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTE5ZTM2YzIwZjBhYjM0ZDUyNzBiMjg1YjZhMGJiMGViMjYzYjQ5ZmI4MGFkYmU4YjY1OTNjYzAwZWRlZjIwNSIsInZlcnNpb24iOjF9.jlvV8WRPSPKJm6UdApoh-dXcAOmLPtF5smsHt39RoO4sFzzbH6elUz5yPF5Lt9Yc2YDIl6c8JDsODqMxmsD0Bg
|
24 |
+
- type: f1
|
25 |
value: 29.3808
|
26 |
+
name: F1
|
27 |
verified: true
|
28 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2ZjYWRlYTI1NDkwYzNhMzM5YTg2NjZmODg0NjNkOGM3YjM2NTlkYjVhZWI0MzlmNjNkMTMxODlkNTY3ODBkMiIsInZlcnNpb24iOjF9.CR1MYeU3uqld9bbI8CLupMtote4WEG9fIq9enwhFJfVpChIT9BGKm86zaPmXHg0yBaNHgkMaEt_a-DaIdiEwAg
|
29 |
---
|