Update README.md

README.md

@@ -1,56 +1,19 @@
 ---
+language: ja
 license: mit
 tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: es_IT
-  results: []
+- ja
+- japanese
+- gpt2
+- text-generation
+- lm
+- nlp
+widget:
+- text: "御社"
 ---
 
-<!-- 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. -->
+# esを書くAI
+Japanese GPT-2 modelをファインチューニングしました
+esを書くAIで、IT業界のESに絞ってトレーニングをしました。
 
-# es_IT
-
-This model is a fine-tuned version of [huranokuma/es2](https://huggingface.co/huranokuma/es2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5235
-- Accuracy: 0.8800
-
-## 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: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 10.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.22.0.dev0
-- Pytorch 1.12.1+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+The model was trained using code from Github repository [rinnakk/japanese-pretrained-models](https://github.com/rinnakk/japanese-pretrained-models) by [rinna Co., Ltd.](https://corp.rinna.co.jp/)