model update
Browse files- config.json +1 -1
- eval/metric.first.answer.paragraph_answer.question.asahi417_qg_dequad.default.json +1 -0
- eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_dequad.default.json +1 -0
- eval/samples.test.hyp.paragraph_answer.question.asahi417_qg_dequad.default.txt +0 -0
- eval/samples.validation.hyp.paragraph_answer.question.asahi417_qg_dequad.default.txt +0 -0
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- trainer_config.json +1 -0
config.json
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{
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"_name_or_path": "lmqg_output/mt5_base_dequad/
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"add_prefix": false,
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"architectures": [
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"MT5ForConditionalGeneration"
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{
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"_name_or_path": "lmqg_output/mt5_base_dequad/model_dpyopu/epoch_16",
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"add_prefix": false,
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"architectures": [
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"MT5ForConditionalGeneration"
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eval/metric.first.answer.paragraph_answer.question.asahi417_qg_dequad.default.json
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{"validation": {"Bleu_1": 0.1291280883299436, "Bleu_2": 0.05701743443323407, "Bleu_3": 0.02740860337398949, "Bleu_4": 0.012279285125040772}, "test": {"Bleu_1": 0.10725506307699226, "Bleu_2": 0.04557647022202245, "Bleu_3": 0.02024127591429899, "Bleu_4": 0.008533191918504858}}
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eval/metric.first.sentence.paragraph_answer.question.asahi417_qg_dequad.default.json
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{"validation": {"Bleu_1": 0.12974191931846005, "Bleu_2": 0.05724293310417708, "Bleu_3": 0.02759076699158977, "Bleu_4": 0.012377278385198033, "METEOR": 0.15564940795444504, "ROUGE_L": 0.13002149496126614, "BERTScore": 0.8257608360032943, "MoverScore": 0.5714381008263734}, "test": {"Bleu_1": 0.108536892470405, "Bleu_2": 0.0460774951505116, "Bleu_3": 0.020565112444773048, "Bleu_4": 0.008725076003212685, "METEOR": 0.1365307725077819, "ROUGE_L": 0.11103265327794129, "BERTScore": 0.803881755792351, "MoverScore": 0.5572775810948901}}
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eval/samples.test.hyp.paragraph_answer.question.asahi417_qg_dequad.default.txt
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eval/samples.validation.hyp.paragraph_answer.question.asahi417_qg_dequad.default.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f5e17322ea1c3039e7a2ade747b5f41e5f554659c2258dc859f4d141ba8077d
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size 2329666125
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "lmqg_output/mt5_base_dequad/
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+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "lmqg_output/mt5_base_dequad/model_dpyopu/epoch_16", "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"}
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trainer_config.json
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{"dataset_path": "asahi417/qg_dequad", "dataset_name": "default", "input_types": ["paragraph_answer"], "output_types": ["question"], "prefix_types": null, "model": "google/mt5-base", "max_length": 512, "max_length_output": 32, "epoch": 17, "batch": 4, "lr": 0.0005, "fp16": false, "random_seed": 1, "gradient_accumulation_steps": 16, "label_smoothing": 0.15}
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