model update
Browse files
README.md
ADDED
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
license: cc-by-4.0
|
4 |
+
metrics:
|
5 |
+
- bleu4
|
6 |
+
- meteor
|
7 |
+
- rouge-l
|
8 |
+
- bertscore
|
9 |
+
- moverscore
|
10 |
+
language: en
|
11 |
+
datasets:
|
12 |
+
- lmqg/qg_squadshifts
|
13 |
+
pipeline_tag: text2text-generation
|
14 |
+
tags:
|
15 |
+
- question generation
|
16 |
+
widget:
|
17 |
+
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
|
18 |
+
example_title: "Question Generation Example 1"
|
19 |
+
- text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
|
20 |
+
example_title: "Question Generation Example 2"
|
21 |
+
- text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
|
22 |
+
example_title: "Question Generation Example 3"
|
23 |
+
model-index:
|
24 |
+
- name: lmqg/t5-base-squadshifts-vanilla-reddit
|
25 |
+
results:
|
26 |
+
- task:
|
27 |
+
name: Text2text Generation
|
28 |
+
type: text2text-generation
|
29 |
+
dataset:
|
30 |
+
name: lmqg/qg_squadshifts
|
31 |
+
type: reddit
|
32 |
+
args: reddit
|
33 |
+
metrics:
|
34 |
+
- name: BLEU4
|
35 |
+
type: bleu4
|
36 |
+
value: 0.06368876631369295
|
37 |
+
- name: ROUGE-L
|
38 |
+
type: rouge-l
|
39 |
+
value: 0.23413349899436356
|
40 |
+
- name: METEOR
|
41 |
+
type: meteor
|
42 |
+
value: 0.19691366998167356
|
43 |
+
- name: BERTScore
|
44 |
+
type: bertscore
|
45 |
+
value: 0.9127928860115689
|
46 |
+
- name: MoverScore
|
47 |
+
type: moverscore
|
48 |
+
value: 0.6018637445444001
|
49 |
+
---
|
50 |
+
|
51 |
+
# Language Models Fine-tuning on Question Generation: `lmqg/t5-base-squadshifts-vanilla-reddit`
|
52 |
+
This model is fine-tuned version of [t5-base](https://huggingface.co/t5-base) for question generation task on the
|
53 |
+
[lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) (dataset_name: reddit).
|
54 |
+
|
55 |
+
|
56 |
+
### Overview
|
57 |
+
- **Language model:** [t5-base](https://huggingface.co/t5-base)
|
58 |
+
- **Language:** en
|
59 |
+
- **Training data:** [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) (reddit)
|
60 |
+
- **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
|
61 |
+
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
|
62 |
+
- **Paper:** [TBA](TBA)
|
63 |
+
|
64 |
+
### Usage
|
65 |
+
```python
|
66 |
+
|
67 |
+
from transformers import pipeline
|
68 |
+
|
69 |
+
model_path = 'lmqg/t5-base-squadshifts-vanilla-reddit'
|
70 |
+
pipe = pipeline("text2text-generation", model_path)
|
71 |
+
|
72 |
+
# Question Generation
|
73 |
+
input_text = 'generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.'
|
74 |
+
question = pipe(input_text)
|
75 |
+
```
|
76 |
+
|
77 |
+
## Evaluation Metrics
|
78 |
+
|
79 |
+
|
80 |
+
### Metrics
|
81 |
+
|
82 |
+
| Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
|
83 |
+
|:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
|
84 |
+
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | reddit | 0.06368876631369295 | 0.23413349899436356 | 0.19691366998167356 | 0.9127928860115689 | 0.6018637445444001 | [link](https://huggingface.co/lmqg/t5-base-squadshifts-vanilla-reddit/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.reddit.json) |
|
85 |
+
|
86 |
+
|
87 |
+
|
88 |
+
|
89 |
+
## Training hyperparameters
|
90 |
+
|
91 |
+
The following hyperparameters were used during fine-tuning:
|
92 |
+
- dataset_path: lmqg/qg_squadshifts
|
93 |
+
- dataset_name: reddit
|
94 |
+
- input_types: ['paragraph_answer']
|
95 |
+
- output_types: ['question']
|
96 |
+
- prefix_types: ['qg']
|
97 |
+
- model: t5-base
|
98 |
+
- max_length: 512
|
99 |
+
- max_length_output: 32
|
100 |
+
- epoch: 5
|
101 |
+
- batch: 8
|
102 |
+
- lr: 0.0001
|
103 |
+
- fp16: False
|
104 |
+
- random_seed: 1
|
105 |
+
- gradient_accumulation_steps: 8
|
106 |
+
- label_smoothing: 0.15
|
107 |
+
|
108 |
+
The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/t5-base-squadshifts-vanilla-reddit/raw/main/trainer_config.json).
|
109 |
+
|
110 |
+
## Citation
|
111 |
+
TBA
|