update model card README.md

README.md

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 ---
-license: openrail
+license: cc-by-sa-4.0
+base_model: nlp-waseda/gpt2-small-japanese-wikipedia
+tags:
+- generated_from_trainer
+datasets:
+- livedoor-news-corpus
+model-index:
+- name: ja-news-gen
+  results: []
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ja-news-gen
+
+This model is a fine-tuned version of [nlp-waseda/gpt2-small-japanese-wikipedia](https://huggingface.co/nlp-waseda/gpt2-small-japanese-wikipedia) on the livedoor-news-corpus dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 6
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3