gpt2 qg hl

README.md

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+# Transformer QG on SQuAD
+HLQG is 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/)
+
+**This is a Reproduce Version**
+
+More detail: [p208p2002/Transformer-QG-on-SQuAD](https://github.com/p208p2002/Transformer-QG-on-SQuAD)
+
+## Usage
+### Input Format
+```
+C' = [c1, c2, ..., [HL], a1, ..., a|A|, [HL], ..., c|C|]
+```
+### Input Example
+```
+Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL].
+```
+> # Who wrote Harry Potter?
+
+## Data setting
+We report two dataset setting as Follow
+
+### SQuAD
+- train: 87599\\t
+- 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]": 50259, "[SEP]": 50258, "[PAD]": 50257}

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.5.1",
+  "use_cache": true,
+  "vocab_size": 50260
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fbce16e272570fbf2f583336a6d813eb00424c128e77e2891a63db4ca211387c
+size 510415776

special_tokens_map.json

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+{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>", "sep_token": "[SEP]", "pad_token": "[PAD]"}

tokenizer_config.json

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+{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2"}