asahi417 commited on
Commit
267f09a
1 Parent(s): 41bb254

model update

Browse files
Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -19,7 +19,7 @@ widget:
19
  - text: "extract answers: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress. <hl>"
20
  example_title: "Answering Extraction Example 2"
21
  model-index:
22
- - name: lmqg/t5-small-squad-answer-extraction
23
  results:
24
  - task:
25
  name: Text2text Generation
@@ -52,7 +52,7 @@ model-index:
52
  value: 56.15
53
  ---
54
 
55
- # Model Card of `lmqg/t5-small-squad-answer-extraction`
56
  This model is fine-tuned version of [t5-small](https://huggingface.co/t5-small) for answer extraction on the [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
57
 
58
 
@@ -70,7 +70,7 @@ This model is fine-tuned version of [t5-small](https://huggingface.co/t5-small)
70
  from lmqg import TransformersQG
71
 
72
  # initialize model
73
- model = TransformersQG(language="en", model="lmqg/t5-small-squad-answer-extraction")
74
 
75
  # model prediction
76
  answers = model.generate_a("William Turner was an English painter who specialised in watercolour landscapes")
@@ -81,7 +81,7 @@ answers = model.generate_a("William Turner was an English painter who specialise
81
  ```python
82
  from transformers import pipeline
83
 
84
- pipe = pipeline("text2text-generation", "lmqg/t5-small-squad-answer-extraction")
85
  output = pipe("extract answers: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress.")
86
 
87
  ```
@@ -89,7 +89,7 @@ output = pipe("extract answers: <hl> Beyonce further expanded her acting career,
89
  ## Evaluation
90
 
91
 
92
- - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/t5-small-squad-answer-extraction/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_squad.default.json)
93
 
94
  | | Score | Type | Dataset |
95
  |:-----------------|--------:|:--------|:---------------------------------------------------------------|
@@ -125,7 +125,7 @@ The following hyperparameters were used during fine-tuning:
125
  - gradient_accumulation_steps: 1
126
  - label_smoothing: 0.15
127
 
128
- The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/t5-small-squad-answer-extraction/raw/main/trainer_config.json).
129
 
130
  ## Citation
131
  ```
 
19
  - text: "extract answers: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress. <hl>"
20
  example_title: "Answering Extraction Example 2"
21
  model-index:
22
+ - name: lmqg/t5-small-squad-ae
23
  results:
24
  - task:
25
  name: Text2text Generation
 
52
  value: 56.15
53
  ---
54
 
55
+ # Model Card of `lmqg/t5-small-squad-ae`
56
  This model is fine-tuned version of [t5-small](https://huggingface.co/t5-small) for answer extraction on the [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
57
 
58
 
 
70
  from lmqg import TransformersQG
71
 
72
  # initialize model
73
+ model = TransformersQG(language="en", model="lmqg/t5-small-squad-ae")
74
 
75
  # model prediction
76
  answers = model.generate_a("William Turner was an English painter who specialised in watercolour landscapes")
 
81
  ```python
82
  from transformers import pipeline
83
 
84
+ pipe = pipeline("text2text-generation", "lmqg/t5-small-squad-ae")
85
  output = pipe("extract answers: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress.")
86
 
87
  ```
 
89
  ## Evaluation
90
 
91
 
92
+ - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/t5-small-squad-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_squad.default.json)
93
 
94
  | | Score | Type | Dataset |
95
  |:-----------------|--------:|:--------|:---------------------------------------------------------------|
 
125
  - gradient_accumulation_steps: 1
126
  - label_smoothing: 0.15
127
 
128
+ The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/t5-small-squad-ae/raw/main/trainer_config.json).
129
 
130
  ## Citation
131
  ```