Update

README.md

@@ -32,10 +32,13 @@ Used ichikara-instruction-003-001-1 for fineturning.
 [ichikara-instruction: 日本語instructionモデル評価データセット](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF-%E5%85%AC%E9%96%8B/)
 © 2023 Akira Sasaki and Masato Hirakawa and Shintaro Horie and Tomoaki Nakamura (CC BY-SA 4.0 )
 
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 ### Model Description
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@@ -48,12 +51,13 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
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 ## Uses
 
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@@ -109,35 +113,44 @@ with torch.no_grad():
 print(tokenizer.decode(output))
 
 ```
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 ### Direct Use
 
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 ## How to Get Started with the Model
@@ -149,15 +162,16 @@ Use the code below to get started with the model.
 ## Training Details
 
 ### Training Data
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@@ -165,36 +179,42 @@ Use the code below to get started with the model.
 
 #### Training Hyperparameters
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
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+<!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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 ### Results
@@ -206,15 +226,15 @@ Use the code below to get started with the model.
 
 
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 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
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