model update

README.md

@@ -21,7 +21,7 @@ widget:
 - text: "contre <hl> Normie Smith <hl> et 15 000 dollars le 28 novembre 1938."
   example_title: "Question Generation Example 3" 
 model-index:
-- name: lmqg/mt5-small-frquad
+- name: lmqg/mt5-small-frquad-qg
   results:
   - task:
       name: Text2text Generation
@@ -66,7 +66,7 @@ model-index:
       value: 62.46
 ---
 
-# Model Card of `lmqg/mt5-small-frquad`
+# Model Card of `lmqg/mt5-small-frquad-qg`
 This model is fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) for question generation task on the [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
 
 
@@ -84,7 +84,7 @@ This model is fine-tuned version of [google/mt5-small](https://huggingface.co/go
 from lmqg import TransformersQG
 
 # initialize model
-model = TransformersQG(language="fr", model="lmqg/mt5-small-frquad")
+model = TransformersQG(language="fr", model="lmqg/mt5-small-frquad-qg")
 
 # model prediction
 questions = model.generate_q(list_context="Créateur » (Maker), lui aussi au singulier, « le Suprême Berger » (The Great Shepherd) ; de l'autre, des réminiscences de la théologie de l'Antiquité : le tonnerre, voix de Jupiter, « Et souvent ta voix gronde en un tonnerre terrifiant », etc.", list_answer="le Suprême Berger")
@@ -95,7 +95,7 @@ questions = model.generate_q(list_context="Créateur » (Maker), lui aussi au si
 ```python
 from transformers import pipeline
 
-pipe = pipeline("text2text-generation", "lmqg/mt5-small-frquad")
+pipe = pipeline("text2text-generation", "lmqg/mt5-small-frquad-qg")
 output = pipe("Créateur » (Maker), lui aussi au singulier, « <hl> le Suprême Berger <hl> » (The Great Shepherd) ; de l'autre, des réminiscences de la théologie de l'Antiquité : le tonnerre, voix de Jupiter, « Et souvent ta voix gronde en un tonnerre terrifiant », etc.")
 
 ```
@@ -103,7 +103,7 @@ output = pipe("Créateur » (Maker), lui aussi au singulier, « <hl> le Suprême
 ## Evaluation
 
 
-- ***Metric (Question Generation)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_frquad.default.json) 
+- ***Metric (Question Generation)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-frquad-qg/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_frquad.default.json) 
 
 |            |   Score | Type    | Dataset                                                          |
 |:-----------|--------:|:--------|:-----------------------------------------------------------------|
@@ -117,7 +117,7 @@ output = pipe("Créateur » (Maker), lui aussi au singulier, « <hl> le Suprême
 | ROUGE_L    |   28.56 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
 
 
-- ***Metric (Question & Answer Generation)***: QAG metrics are computed with *the gold answer* and generated question on it for this model, as the model cannot provide an answer. [raw metric file](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.json)
+- ***Metric (Question & Answer Generation)***: QAG metrics are computed with *the gold answer* and generated question on it for this model, as the model cannot provide an answer. [raw metric file](https://huggingface.co/lmqg/mt5-small-frquad-qg/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_frquad.default.json)
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
@@ -149,7 +149,7 @@ The following hyperparameters were used during fine-tuning:
  - gradient_accumulation_steps: 1
  - label_smoothing: 0.15
 
-The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/mt5-small-frquad/raw/main/trainer_config.json).
+The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/mt5-small-frquad-qg/raw/main/trainer_config.json).
 
 ## Citation
 ```