model update

README.md

@@ -7,14 +7,14 @@ metrics:
 - rouge-l
 - bertscore
 - moverscore
-language: en
+language: fr
 datasets:
 - lmqg/qag_frquad
 pipeline_tag: text2text-generation
 tags:
 - questions and answers generation
 widget:
-- text: "Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
+- text: "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."
   example_title: "Questions & Answers Generation Example 1" 
 model-index:
 - name: lmqg/mt5-small-frquad-qag
@@ -35,31 +35,31 @@ model-index:
       value: 15.33
     - name: METEOR (Question & Answer Generation)
       type: meteor_question_answer_generation
-      value: 16.16
+      value: 16.12
     - name: BERTScore (Question & Answer Generation)
       type: bertscore_question_answer_generation
-      value: 81.38
+      value: 64.81
     - name: MoverScore (Question & Answer Generation)
       type: moverscore_question_answer_generation
-      value: 54.76
+      value: 50.01
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
       type: qa_aligned_f1_score_bertscore_question_answer_generation
-      value: 85.24
+      value: 77.23
     - name: QAAlignedRecall-BERTScore (Question & Answer Generation)
       type: qa_aligned_recall_bertscore_question_answer_generation
-      value: 85.53
+      value: 77.74
     - name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
       type: qa_aligned_precision_bertscore_question_answer_generation
-      value: 84.97
+      value: 76.76
     - name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
       type: qa_aligned_f1_score_moverscore_question_answer_generation
-      value: 61.36
+      value: 52.36
     - name: QAAlignedRecall-MoverScore (Question & Answer Generation)
       type: qa_aligned_recall_moverscore_question_answer_generation
-      value: 61.67
+      value: 52.54
     - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
       type: qa_aligned_precision_moverscore_question_answer_generation
-      value: 61.08
+      value: 52.19
 ---
 
 # Model Card of `lmqg/mt5-small-frquad-qag`
@@ -68,7 +68,7 @@ This model is fine-tuned version of [google/mt5-small](https://huggingface.co/go
 
 ### Overview
 - **Language model:** [google/mt5-small](https://huggingface.co/google/mt5-small)   
-- **Language:** en  
+- **Language:** fr  
 - **Training data:** [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) (default)
 - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
 - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
@@ -80,10 +80,10 @@ This model is fine-tuned version of [google/mt5-small](https://huggingface.co/go
 from lmqg import TransformersQG
 
 # initialize model
-model = TransformersQG(language="en", model="lmqg/mt5-small-frquad-qag")
+model = TransformersQG(language="fr", model="lmqg/mt5-small-frquad-qag")
 
 # model prediction
-question_answer_pairs = model.generate_qa("William Turner was an English painter who specialised in watercolour landscapes")
+question_answer_pairs = model.generate_qa("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.")
 
 ```
 
@@ -92,7 +92,7 @@ question_answer_pairs = model.generate_qa("William Turner was an English painter
 from transformers import pipeline
 
 pipe = pipeline("text2text-generation", "lmqg/mt5-small-frquad-qag")
-output = pipe("Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.")
+output = pipe("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.")
 
 ```
 
@@ -103,19 +103,19 @@ output = pipe("Beyonce further expanded her acting career, starring as blues sin
 
 |                                 |   Score | Type    | Dataset                                                            |
 |:--------------------------------|--------:|:--------|:-------------------------------------------------------------------|
-| BERTScore                       |   81.38 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| Bleu_1                          |    9.69 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| Bleu_2                          |    4.74 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| BERTScore                       |   64.81 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| Bleu_1                          |    9.63 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| Bleu_2                          |    4.73 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
 | Bleu_3                          |    2.64 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
 | Bleu_4                          |    1.54 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| METEOR                          |   16.16 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| MoverScore                      |   54.76 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedF1Score (BERTScore)    |   85.24 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedF1Score (MoverScore)   |   61.36 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedPrecision (BERTScore)  |   84.97 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedPrecision (MoverScore) |   61.08 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedRecall (BERTScore)     |   85.53 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
-| QAAlignedRecall (MoverScore)    |   61.67 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| METEOR                          |   16.12 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| MoverScore                      |   50.01 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedF1Score (BERTScore)    |   77.23 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedF1Score (MoverScore)   |   52.36 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedPrecision (BERTScore)  |   76.76 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedPrecision (MoverScore) |   52.19 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedRecall (BERTScore)     |   77.74 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
+| QAAlignedRecall (MoverScore)    |   52.54 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
 | ROUGE_L                         |   15.33 | default | [lmqg/qag_frquad](https://huggingface.co/datasets/lmqg/qag_frquad) |
 
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lmqg_output/mt5-small-frquad-qag/best_model",
+  "_name_or_path": "lmqg_output/mt5-small-frquad-qag/model_mzgdpa/epoch_5",
   "add_prefix": false,
   "architectures": [
     "MT5ForConditionalGeneration"

eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_frquad.default.json

@@ -1 +1 @@
-{"validation": {"Bleu_1": 0.25859671539704127, "Bleu_2": 0.13949939339072215, "Bleu_3": 0.07485661291712845, "Bleu_4": 0.04638711935920634, "METEOR": 0.17697673583128798, "ROUGE_L": 0.22388752550998495, "BERTScore": 0.8470916992519051, "MoverScore": 0.577382649328321, "QAAlignedF1Score (BERTScore)": 0.8621119608089612, "QAAlignedRecall (BERTScore)": 0.8532999200520978, "QAAlignedPrecision (BERTScore)": 0.8713582639828221, "QAAlignedF1Score (MoverScore)": 0.6298209140722376, "QAAlignedRecall (MoverScore)": 0.6194297118727317, "QAAlignedPrecision (MoverScore)": 0.6410915896724291}, "test": {"Bleu_1": 0.09685450309508968, "Bleu_2": 0.04741444591435769, "Bleu_3": 0.026373005579639383, "Bleu_4": 0.015386846865122246, "METEOR": 0.16155892907631575, "ROUGE_L": 0.15327510544926737, "BERTScore": 0.8138035876975421, "MoverScore": 0.5476106864070216, "QAAlignedF1Score (BERTScore)": 0.8524109194415295, "QAAlignedRecall (BERTScore)": 0.855268605848854, "QAAlignedPrecision (BERTScore)": 0.8497056542294297, "QAAlignedF1Score (MoverScore)": 0.6136136229281918, "QAAlignedRecall (MoverScore)": 0.6167186901698161, "QAAlignedPrecision (MoverScore)": 0.6107795531618404}}
+{"validation": {"Bleu_1": 0.2564384685675875, "Bleu_2": 0.13902990103351057, "Bleu_3": 0.07604461713510292, "Bleu_4": 0.048106284604614094, "METEOR": 0.17653494749823867, "ROUGE_L": 0.2232438933303529, "BERTScore": 0.7172536270615334, "MoverScore": 0.5143960911054434, "QAAlignedF1Score (BERTScore)": 0.7857067185106722, "QAAlignedRecall (BERTScore)": 0.7718289041633918, "QAAlignedPrecision (BERTScore)": 0.8009370848859868, "QAAlignedF1Score (MoverScore)": 0.537190892301648, "QAAlignedRecall (MoverScore)": 0.5271966829181792, "QAAlignedPrecision (MoverScore)": 0.5480096039350669}, "test": {"Bleu_1": 0.09633246448107434, "Bleu_2": 0.04727655391960404, "Bleu_3": 0.026361268946164768, "Bleu_4": 0.015435301672827135, "METEOR": 0.16121154834362886, "ROUGE_L": 0.15333781495958926, "BERTScore": 0.6480726455069834, "MoverScore": 0.5000641898713922, "QAAlignedF1Score (BERTScore)": 0.7722652721437624, "QAAlignedRecall (BERTScore)": 0.7774018039561464, "QAAlignedPrecision (BERTScore)": 0.7676207746892701, "QAAlignedF1Score (MoverScore)": 0.5235572755796504, "QAAlignedRecall (MoverScore)": 0.5254281358359643, "QAAlignedPrecision (MoverScore)": 0.5218568654099053}}

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 1200724741
+oid sha256:d22f1d493c5ce9892df6a599cb43e073e551b25738ee087aba5a8ce4042819a8
+size 1200727429

tokenizer_config.json

@@ -2,7 +2,7 @@
   "additional_special_tokens": null,
   "eos_token": "</s>",
   "extra_ids": 0,
-  "name_or_path": "lmqg_output/mt5-small-frquad-qag/best_model",
+  "name_or_path": "lmqg_output/mt5-small-frquad-qag/model_mzgdpa/epoch_5",
   "pad_token": "<pad>",
   "sp_model_kwargs": {},
   "special_tokens_map_file": "/home/c.c2042013/.cache/huggingface/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276",