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davidkim205
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ko-gemma-2-9b-it

Text Generation
Transformers
Safetensors
Korean
English
gemma2
conversational
text-generation-inference
Inference Endpoints
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  library_name: transformers
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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  ## Model Details
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- ### Model Description
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- ## Uses
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- ## Bias, Risks, and Limitations
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## 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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- ## Training Details
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- ### Training Procedure
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- #### Preprocessing [optional]
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- #### Training Hyperparameters
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- ## Evaluation
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- ### Results
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- #### Summary
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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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- ## Technical Specifications [optional]
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- ## Glossary [optional]
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  ---
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  library_name: transformers
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+ license: llama3
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+ language:
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+ - ko
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+ - en
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+ pipeline_tag: text-generation
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  ---
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+ # davidkim205/ko-gemma-2-9b-it
 
 
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+ davidkim205/ko-gemma-2-9b-it is one of several models being researched to improve the performance of Korean language models.
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+ (would be released soon)
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  ## Model Details
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+ * **Model Developers** : davidkim(changyeon kim)
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+ * **Repository** : -
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+ * **base mode** : google/gemma-2-9b-it
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+ * **sft dataset** : qa_ability_1851.jsonl
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+ ## Benchmark
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+ ### kollm_evaluation
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+ https://github.com/davidkim205/kollm_evaluation
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+ | Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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+ |-------------------|-------|------|-----:|--------|-----:|---|------|
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+ |kobest |N/A |none | 0|acc |0.5150|± |0.0073|
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+ | | |none | 0|f1 |0.4494|± |N/A |
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+ | - kobest_boolq | 1|none | 0|acc |0.6154|± |0.0130|
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+ | | |none | 0|f1 |0.5595|± |N/A |
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+ | - kobest_copa | 1|none | 0|acc |0.4710|± |0.0158|
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+ | | |none | 0|f1 |0.4700|± |N/A |
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+ | - kobest_hellaswag| 1|none | 0|acc |0.3880|± |0.0218|
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+ | | |none | 0|f1 |0.3832|± |N/A |
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+ | | |none | 0|acc_norm|0.4780|± |0.0224|
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+ | - kobest_sentineg | 1|none | 0|acc |0.5189|± |0.0251|
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+ | | |none | 0|f1 |0.4773|± |N/A |
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+ | - kobest_wic | 1|none | 0|acc |0.4873|± |0.0141|
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+ | | |none | 0|f1 |0.3276|± |N/A |
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+ |ko_truthfulqa | 2|none | 0|acc |0.3390|± |0.0166|
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+ |ko_mmlu | 1|none | 0|acc |0.1469|± |0.0019|
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+ | | |none | 0|acc_norm|0.1469|± |0.0019|
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+ |ko_hellaswag | 1|none | 0|acc |0.2955|± |0.0046|
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+ | | |none | 0|acc_norm|0.3535|± |0.0048|
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+ |ko_common_gen | 1|none | 0|acc |0.5825|± |0.0126|
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+ | | |none | 0|acc_norm|0.5825|± |0.0126|
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+ |ko_arc_easy | 1|none | 0|acc |0.2329|± |0.0124|
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+ | | |none | 0|acc_norm|0.2867|± |0.0132|
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+ ### Evaluation of KEval
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+ keval is an evaluation model that learned the prompt and dataset used in the benchmark for evaluating Korean language models among various methods of evaluating models with chatgpt to compensate for the shortcomings of the existing lm-evaluation-harness.
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+ https://huggingface.co/davidkim205/keval-7b
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+ | model | ned | exe_time | evalscore | count |
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+ |:-----------------------------------------------------------------------------------------|------:|-----------:|------------:|--------:|
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+ | claude-3-opus-20240229 | nan | nan | 8.79 | 42 |
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+ | gpt-4-turbo-2024-04-09 | nan | nan | 8.71 | 42 |
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+ | Qwen2-72B-Instruct | nan | 29850.5 | 7.85 | 42 |
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+ | WizardLM-2-8x22B | nan | 133831 | 7.57 | 42 |
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+ | ***ko-gemma-2-9b-it*** | nan | 30789.5 | 7.52 | 42 |
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+ | HyperClovaX | nan | nan | 7.44 | 42 |
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+ | gemma-2-9b-it | nan | 23531.7 | 7.4 | 42 |
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+ | glm-4-9b-chat | nan | 24825.6 | 7.31 | 42 |
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+ | Ko-Llama-3-8B-Instruct | nan | 10697.5 | 6.81 | 42 |
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+ | Qwen2-7B-Instruct | nan | 11856.3 | 6.02 | 42 |
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+ | Not-WizardLM-2-7B | nan | 12955.7 | 5.26 | 42 |
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+ | gemma-1.1-7b-it | nan | 6950.5 | 4.99 | 42 |
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+ | Mistral-7B-Instruct-v0.3 | nan | 19631.4 | 4.89 | 42 |
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+ | Phi-3-small-128k-instruct | nan | 26747.5 | 3.52 | 42 |