bart hlqg

README.md

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+# Transformer QG on SQuAD
+The inputs of the model refers to 
+```
+we integrate C and A into a new C' in the following form.
+C' = [c1, c2, ..., [HL], a1, ..., a|A|, [HL], ..., c|C|]
+```
+> Proposed by [Ying-Hong Chan & Yao-Chung Fan. (2019). A Re-current BERT-based Model for Question Generation.](https://www.aclweb.org/anthology/D19-5821/)
+
+More detail: [p208p2002/Transformer-QG-on-SQuAD](https://github.com/p208p2002/Transformer-QG-on-SQuAD)
+
+## Features
+- Fully pipline from fine-tune to evaluation
+- Support most of state of the art models
+- Fast deploy as a API server
+
+## Data setting
+We report two dataset setting as Follow
+
+### SQuAD
+- train: 87599	
+- validation: 10570
+> [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
+
+### SQuAD NQG
+- train: 75722
+- dev: 10570
+- test: 11877
+> [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106)
+
+## Available models
+- BART
+- GPT2
+- T5
+
+## Expriments
+We report score with `NQG Scorer` which is using in SQuAD NQG.
+
+If not special explanation, the size of the model defaults to "base".
+
+### SQuAD
+Model                            |Bleu 1|Bleu 2|Bleu 3|Bleu 4|METEOR|ROUGE-L|
+---------------------------------|------|------|------|------|------|-------|
+BART-HLSQG                       |54.67 |39.26 |30.34 |24.15 |25.43 |52.64  |
+GPT2-HLSQG                       |49.31 |33.95 |25.41| 19.69 |22.29 |48.82  |
+T5-HLSQG                         |54.29 |39.22 |30.43 |24.26 |25.56 |53.11  |
+
+### SQuAD NQG
+Model                            |Bleu 1|Bleu 2|Bleu 3|Bleu 4|METEOR|ROUGE-L|
+---------------------------------|------|------|------|------|------|-------|
+BERT-HLSQG (Chan et al.)         |49.73 |34.60 |26.13 |20.33 |23.88 |48.23  |
+BART-HLSQG                       |54.12 |38.19 |28.84 |22.35 |24.55 |51.03  |
+GPT2-HLSQG                       |49.82 |33.69 |24.71 |18.63 |21.90 |47.60  |
+T5-HLSQG                         |53.13 |37.60 |28.62 |22.38 |24.48 |51.20  |

added_tokens.json

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+{"[HL]": 50265}

config.json

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+{
+  "_name_or_path": "facebook/bart-base",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.1,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 1024,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "length_penalty": 1.0,
+      "max_length": 128,
+      "min_length": 12,
+      "num_beams": 4
+    },
+    "summarization_cnn": {
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "num_beams": 4
+    },
+    "summarization_xsum": {
+      "length_penalty": 1.0,
+      "max_length": 62,
+      "min_length": 11,
+      "num_beams": 6
+    }
+  },
+  "transformers_version": "4.5.1",
+  "use_cache": true,
+  "vocab_size": 50266
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee78539745a77bc0f7ca373973dccac38f2cc2c8e99aa211738b052cb48ebec7
+size 557986175

special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "facebook/bart-base"}