Update README.md

README.md

@@ -5,7 +5,7 @@ datasets:
 language:
 - ja
 base_model:
-- meta-llama/Llama-3.3-70B-Instruct
+- llm-jp/llm-jp-3-13b
 ---
 # Model Card for Model ID
 
@@ -41,20 +41,17 @@ For Academic lessons of Matsuo-LLM Lectures
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
-
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
-[More Information Needed]
+
 
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
 
 ### Recommendations
 
@@ -72,7 +69,7 @@ Use the code below to get started with the model.
 
 ### Training Data
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+# https://liat-aip.sakura.ne.jp/wp/llmのための日本語インストラクションデータ作成/llmのための日本語インストラクションデータ-公開/
 
 [More Information Needed]
 
@@ -80,21 +77,12 @@ Use the code below to get started with the model.
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
-#### Preprocessing [optional]
-
-[More Information Needed]
 
 
 #### 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 -->
 
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
 ## Evaluation
 
 <!-- This section describes the evaluation protocols and provides the results. -->
@@ -105,6 +93,8 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset Card if possible. -->
 
+elyza-tasks-100-TV_0.jsonl
+
 [More Information Needed]
 
 #### Factors
@@ -126,30 +116,20 @@ Use the code below to get started with the model.
 #### Summary
 
 
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
 ## Environmental Impact
 
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 
 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).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
+- **Hardware Type:** 
+- **Hours used:** 10
+- **Cloud Provider:** Google Colab
+- **Compute Region:** A100
 - **Carbon Emitted:** [More Information Needed]
 
-## Technical Specifications [optional]
-
 ### Model Architecture and Objective
-
-[More Information Needed]
+For Academic Use
 
 ### Compute Infrastructure
 
@@ -163,10 +143,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 [More Information Needed]
 
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
 **BibTeX:**
 
 [More Information Needed]
@@ -175,18 +151,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 [More Information Needed]
 
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
 [More Information Needed]
 
 ## Model Card Contact