Update README.md

README.md

@@ -46,29 +46,7 @@ The JPharmatron-7B is continually pre-trained using 10T tokens from Japanese and
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
-### Direct Use
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-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-[More Information Needed]
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-### Downstream Use [optional]
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-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-[More Information Needed]
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-### Out-of-Scope Use
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-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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-[More Information Needed]
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-## Bias, Risks, and Limitations
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-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-[More Information Needed]
+This model is a text-only model. Applications to pharmaceutial paperworks and research use are intended.
 
 ### Recommendations
 
@@ -76,38 +54,6 @@ The JPharmatron-7B is continually pre-trained using 10T tokens from Japanese and
 
 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 
-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-[More Information Needed]
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-## Training Details
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-### Training Data
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-<!-- 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. -->
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-[More Information Needed]
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-### Training Procedure
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-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-#### Preprocessing [optional]
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-[More Information Needed]
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-#### Training Hyperparameters
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-- **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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-#### Speeds, Sizes, Times [optional]
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-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
 
 ## Evaluation
 
@@ -125,7 +71,7 @@ We evaluated our model, JPharmatron-7B, with other general / domain-specific mod
 
 Compared to Meditron3-Qwen2.5-7B and Llama3.1-Swallow-8B-Instruct-v0.3, JPharmatron-7B achieved the highest score on all of the five benchmarks.
 
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+![](evaluation.png)
 
 ## Citation [optional]