Added files

README.md

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+---
+language: ja
+tags:
+- t5
+- text2text-generation
+- seq2seq
+license: apache-2.0
+datasets:
+- mc4
+- wiki40b
+---
+
+# t5-base-japanese-web (with Byte-fallback)
+
+## Description
+
+[megagonlabs/t5-base-japanese-web](https://huggingface.co/megagonlabs/t5-base-japanese-web) is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.  
+
+### Corpus
+
+- Japanese in [mC4/3.0.1](https://github.com/allenai/allennlp/discussions/5056)
+- [Japanese in wiki40b/1.3.0](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bja)
+
+### Tokeniser
+
+SentencePiece trained on Japanese Wikipedia
+
+- Vocabulary size: 32,000
+- [Byte-fallback](https://github.com/google/sentencepiece/releases/tag/v0.1.9): Enabled
+
+### Parameters
+
+- T5 model: [models/t5.1.1.base.gin](https://github.com/google-research/text-to-text-transfer-transformer/blob/main/t5/models/gin/models/t5.1.1.base.gin)
+- Training steps: 1,000,000
+
+## Documents
+
+- [pretrain of T5 with TPU](docs/mC4_wiki40b.md)
+
+## Links
+
+- Repositories
+    - [T5](https://github.com/google-research/text-to-text-transfer-transformer)
+    - [mT5](https://github.com/google-research/multilingual-t5)
+- Related models
+    - [日本語T5事前学習済みモデル (sonoisa/t5-base-japanese)](https://huggingface.co/sonoisa/t5-base-japanese)
+    - [日本語T5事前学習済みモデル (sonoisa/t5-base-japanese-mC4-Wikipedia)](https://huggingface.co/sonoisa/t5-base-japanese-mC4-Wikipedia)
+- Articles
+    - [第7回 T5 によるテキスト生成の検証 (2020年2月26日)](https://www.ogis-ri.co.jp/otc/hiroba/technical/similar-document-search/part7.html)
+    - [第8回 続・T5 によるテキスト生成の検証 (2020年4月23日)](https://www.ogis-ri.co.jp/otc/hiroba/technical/similar-document-search/part8.html)
+    - [第14回 Hugging Face Transformers で T5 を使ってみる (2021年4月22日)](https://www.ogis-ri.co.jp/otc/hiroba/technical/similar-document-search/part14.html)
+
+## License
+
+Apache License 2.0

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.8.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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