Hugging Face's logo

research-backup
/
bart-base-subjqa-grocery-qg

Text2Text Generation
Transformers
PyTorch
English
bart
question generation
Eval Results
Inference Endpoints
Model card Files Community
1
asahi417 commited on
Commit
7fd5bfc
•
1 Parent(s): 6e29ebe

model update

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -9,7 +9,7 @@ metrics:
9
  - moverscore
10
  language: en
11
  datasets:
12
- - lmqg/qg_squad
13
  pipeline_tag: text2text-generation
14
  tags:
15
  - question generation
@@ -73,13 +73,13 @@ model-index:
73
 
74
  # Language Models Fine-tuning on Question Generation: `lmqg/bart-base-subjqa-grocery`
75
  This model is fine-tuned version of [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad) for question generation task on the
76
- [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default).
77
  This model is continuously fine-tuned with [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad).
78
 
79
  ### Overview
80
  - **Language model:** [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad)
81
  - **Language:** en
82
- - **Training data:** [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (default)
83
  - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
84
  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
85
  - **Paper:** [TBA](TBA)
@@ -104,7 +104,7 @@ question = pipe(input_text)
104
 
105
  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
106
  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
107
- | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.01819826043861771 | 0.24540910718326245 | 0.20802912711150412 | 0.9408770222663879 | 0.6575666483456122 | [link](https://huggingface.co/lmqg/bart-base-subjqa-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
108
 
109
 
110
 
 
9
  - moverscore
10
  language: en
11
  datasets:
12
+ - lmqg/qg_subjqa
13
  pipeline_tag: text2text-generation
14
  tags:
15
  - question generation
 
73
 
74
  # Language Models Fine-tuning on Question Generation: `lmqg/bart-base-subjqa-grocery`
75
  This model is fine-tuned version of [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad) for question generation task on the
76
+ [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (dataset_name: grocery).
77
  This model is continuously fine-tuned with [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad).
78
 
79
  ### Overview
80
  - **Language model:** [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad)
81
  - **Language:** en
82
+ - **Training data:** [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (grocery)
83
  - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
84
  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
85
  - **Paper:** [TBA](TBA)
 
104
 
105
  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
106
  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
107
+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.01819826043861771 | 0.24540910718326245 | 0.20802912711150412 | 0.9408770222663879 | 0.6575666483456122 | [link](https://huggingface.co/lmqg/bart-base-subjqa-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) |
108
 
109
 
110