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README.md
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@@ -31,33 +31,33 @@ model-index:
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metrics:
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- name: BLEU4 (Question Answering)
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type: bleu4_question_answering
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value:
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- name: ROUGE-L (Question Answering)
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type: rouge_l_question_answering
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value:
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- name: METEOR (Question Answering)
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type: meteor_question_answering
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value:
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- name: BERTScore (Question Answering)
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type: bertscore_question_answering
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value:
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- name: MoverScore (Question Answering)
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type: moverscore_question_answering
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value:
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- name: AnswerF1Score (Question Answering)
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type: answer_f1_score__question_answering
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value:
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- name: AnswerExactMatch (Question Answering)
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type: answer_exact_match_question_answering
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value:
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---
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# Model Card of `vocabtrimmer/mt5-small-trimmed-ru-60000-ruquad-qa`
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This model is fine-tuned version of [
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### Overview
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- **Language model:** [
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- **Language:** ru
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- **Training data:** [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) (default)
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- **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
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| | Score | Type | Dataset |
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|:-----------------|--------:|:--------|:-----------------------------------------------------------------|
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| AnswerExactMatch |
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| AnswerF1Score |
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| BERTScore |
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| Bleu_1 |
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| Bleu_2 |
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| Bleu_3 |
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| Bleu_4 |
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| METEOR |
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| MoverScore |
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| ROUGE_L |
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@@ -114,15 +114,15 @@ The following hyperparameters were used during fine-tuning:
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- input_types: ['paragraph_question']
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- output_types: ['answer']
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- prefix_types: None
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- model:
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- max_length: 512
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- max_length_output: 32
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- epoch:
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- batch: 32
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- lr: 0.0005
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- fp16: False
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- random_seed: 1
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- gradient_accumulation_steps:
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- label_smoothing: 0.15
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The full configuration can be found at [fine-tuning config file](https://huggingface.co/vocabtrimmer/mt5-small-trimmed-ru-60000-ruquad-qa/raw/main/trainer_config.json).
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metrics:
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- name: BLEU4 (Question Answering)
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type: bleu4_question_answering
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value: 32.11
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- name: ROUGE-L (Question Answering)
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type: rouge_l_question_answering
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value: 56.23
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- name: METEOR (Question Answering)
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type: meteor_question_answering
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value: 41.9
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- name: BERTScore (Question Answering)
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type: bertscore_question_answering
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value: 95.5
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- name: MoverScore (Question Answering)
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type: moverscore_question_answering
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value: 84.89
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- name: AnswerF1Score (Question Answering)
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type: answer_f1_score__question_answering
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value: 75.12
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- name: AnswerExactMatch (Question Answering)
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type: answer_exact_match_question_answering
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value: 52.98
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---
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# Model Card of `vocabtrimmer/mt5-small-trimmed-ru-60000-ruquad-qa`
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This model is fine-tuned version of [ckpts/mt5-small-trimmed-ru-60000](https://huggingface.co/ckpts/mt5-small-trimmed-ru-60000) for question answering task on the [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
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### Overview
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- **Language model:** [ckpts/mt5-small-trimmed-ru-60000](https://huggingface.co/ckpts/mt5-small-trimmed-ru-60000)
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- **Language:** ru
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- **Training data:** [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) (default)
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- **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
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| | Score | Type | Dataset |
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|:-----------------|--------:|:--------|:-----------------------------------------------------------------|
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| AnswerExactMatch | 52.98 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| AnswerF1Score | 75.12 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| BERTScore | 95.5 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| Bleu_1 | 49.05 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| Bleu_2 | 42.9 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| Bleu_3 | 37.41 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| Bleu_4 | 32.11 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| METEOR | 41.9 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| MoverScore | 84.89 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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| ROUGE_L | 56.23 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- input_types: ['paragraph_question']
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- output_types: ['answer']
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- prefix_types: None
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- model: ckpts/mt5-small-trimmed-ru-60000
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- max_length: 512
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- max_length_output: 32
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- epoch: 18
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- batch: 32
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- lr: 0.0005
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- fp16: False
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- random_seed: 1
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- gradient_accumulation_steps: 2
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- label_smoothing: 0.15
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The full configuration can be found at [fine-tuning config file](https://huggingface.co/vocabtrimmer/mt5-small-trimmed-ru-60000-ruquad-qa/raw/main/trainer_config.json).
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eval/metric.first.answer.paragraph_question.answer.lmqg_qg_ruquad.default.json
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{"validation": {"Bleu_1": 0.
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{"validation": {"Bleu_1": 0.5084653442875716, "Bleu_2": 0.44792145890828877, "Bleu_3": 0.3939160692873602, "Bleu_4": 0.34145570880461795, "METEOR": 0.4219550035815873, "ROUGE_L": 0.574153806841515, "BERTScore": 0.9575335951411033, "MoverScore": 0.853596909299789, "AnswerF1Score": 76.24623945348426, "AnswerExactMatch": 54.567116759332805}, "test": {"Bleu_1": 0.49054811866857406, "Bleu_2": 0.4290175872888806, "Bleu_3": 0.3740594423176417, "Bleu_4": 0.3210534168498522, "METEOR": 0.4190175476074441, "ROUGE_L": 0.5622584866956997, "BERTScore": 0.9550280906881389, "MoverScore": 0.8488775275885717, "AnswerF1Score": 75.1229757399946, "AnswerExactMatch": 52.97855440826052}}
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eval/samples.test.hyp.paragraph_question.answer.lmqg_qg_ruquad.default.txt
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eval/samples.validation.hyp.paragraph_question.answer.lmqg_qg_ruquad.default.txt
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