commit files to HF hub

README.md

@@ -31,33 +31,33 @@ model-index:
     metrics:
     - name: BLEU4 (Question Answering)
       type: bleu4_question_answering
-      value: 0.0
+      value: 17.12
     - name: ROUGE-L (Question Answering)
       type: rouge_l_question_answering
-      value: 0.0
+      value: 27.44
     - name: METEOR (Question Answering)
       type: meteor_question_answering
-      value: 0.0
+      value: 21.75
     - name: BERTScore (Question Answering)
       type: bertscore_question_answering
-      value: 72.58
+      value: 88.56
     - name: MoverScore (Question Answering)
       type: moverscore_question_answering
-      value: 56.32
+      value: 70.15
     - name: AnswerF1Score (Question Answering)
       type: answer_f1_score__question_answering
-      value: 0.0
+      value: 43.25
     - name: AnswerExactMatch (Question Answering)
       type: answer_exact_match_question_answering
-      value: 0.0
+      value: 26.88
 ---
 
 # Model Card of `vocabtrimmer/mt5-small-trimmed-fr-15000-frquad-qa`
-This model is fine-tuned version of [vocabtrimmer/mt5-small-trimmed-fr-15000](https://huggingface.co/vocabtrimmer/mt5-small-trimmed-fr-15000) for question answering 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).
+This model is fine-tuned version of [ckpts/mt5-small-trimmed-fr-15000](https://huggingface.co/ckpts/mt5-small-trimmed-fr-15000) for question answering 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).
 
 
 ### Overview
-- **Language model:** [vocabtrimmer/mt5-small-trimmed-fr-15000](https://huggingface.co/vocabtrimmer/mt5-small-trimmed-fr-15000)   
+- **Language model:** [ckpts/mt5-small-trimmed-fr-15000](https://huggingface.co/ckpts/mt5-small-trimmed-fr-15000)   
 - **Language:** fr  
 - **Training data:** [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) (default)
 - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
@@ -93,16 +93,16 @@ output = pipe("question: En quelle année a-t-on trouvé trace d'un haut fournea
 
 |                  |   Score | Type    | Dataset                                                          |
 |:-----------------|--------:|:--------|:-----------------------------------------------------------------|
-| AnswerExactMatch |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| AnswerF1Score    |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| BERTScore        |   72.58 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| Bleu_1           |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| Bleu_2           |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| Bleu_3           |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| Bleu_4           |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| METEOR           |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| MoverScore       |   56.32 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
-| ROUGE_L          |    0    | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| AnswerExactMatch |   26.88 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| AnswerF1Score    |   43.25 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| BERTScore        |   88.56 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| Bleu_1           |   25.9  | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| Bleu_2           |   22.1  | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| Bleu_3           |   19.45 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| Bleu_4           |   17.12 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| METEOR           |   21.75 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| MoverScore       |   70.15 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
+| ROUGE_L          |   27.44 | default | [lmqg/qg_frquad](https://huggingface.co/datasets/lmqg/qg_frquad) |
 
 
 
@@ -114,12 +114,12 @@ The following hyperparameters were used during fine-tuning:
  - input_types: ['paragraph_question']
  - output_types: ['answer']
  - prefix_types: None
- - model: vocabtrimmer/mt5-small-trimmed-fr-15000
+ - model: ckpts/mt5-small-trimmed-fr-15000
  - max_length: 512
  - max_length_output: 32
- - epoch: 9
+ - epoch: 26
  - batch: 32
- - lr: 0.0001
+ - lr: 0.001
  - fp16: False
  - random_seed: 1
  - gradient_accumulation_steps: 4

eval/metric.first.answer.paragraph_question.answer.lmqg_qg_frquad.default.json

@@ -1 +1 @@
-{"validation": {"Bleu_1": 6.378918723349514e-21, "Bleu_2": 1.0512643848189357e-14, "Bleu_3": 1.241748314151487e-12, "Bleu_4": 1.3495668217383437e-11, "METEOR": 0.0, "ROUGE_L": 0.0, "BERTScore": 0.7041046967545298, "MoverScore": 0.5515625251694646, "AnswerF1Score": 0.0, "AnswerExactMatch": 0.0}, "test": {"Bleu_1": 1.523754026139619e-20, "Bleu_2": 4.648490478022164e-19, "Bleu_3": 1.6626776483347877e-18, "Bleu_4": 3.73950065656701e-18, "METEOR": 0.0, "ROUGE_L": 0.0, "BERTScore": 0.7258102194951798, "MoverScore": 0.5631850033525873, "AnswerF1Score": 0.0, "AnswerExactMatch": 0.0}}
+{"validation": {"Bleu_1": 0.2664155005381952, "Bleu_2": 0.22753591111355484, "Bleu_3": 0.1993707280269415, "Bleu_4": 0.17659101079670417, "METEOR": 0.20698995597958483, "ROUGE_L": 0.2601730968698664, "BERTScore": 0.8857114457687739, "MoverScore": 0.6889768436401756, "AnswerF1Score": 42.29288054020749, "AnswerExactMatch": 22.45922208281054}, "test": {"Bleu_1": 0.25904334828099707, "Bleu_2": 0.22102083058968738, "Bleu_3": 0.19446005005164355, "Bleu_4": 0.17115253649023965, "METEOR": 0.2174977961913064, "ROUGE_L": 0.2743645114245147, "BERTScore": 0.885604128110663, "MoverScore": 0.7015155928389406, "AnswerF1Score": 43.253076879987645, "AnswerExactMatch": 26.882057716436638}}