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--- |
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library_name: peft |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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--- |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/652250487bf8cc2dd2bd425d/EVXOPW10F1NnGTkbSMqkN.png) |
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adapter_config.jsonμ λ¨Έμ λ¬λμμ μ΄λν°(Adapter) λͺ¨λΈμ ꡬμ±νκΈ° μν μ€μ μ λ΄κ³ μλ JSON νμΌμ
λλ€. μ΄λν°λ μ¬μ νλ ¨λ λͺ¨λΈμ μΆκ°νμ¬ λͺ¨λΈμ μΌλΆλ₯Ό μ μ κ³μ° λΉμ©μΌλ‘ μμ ν μ μκ² νλ λͺ¨λμ
λλ€. μ΄ μ€μ νμΌμλ μ΄λν° λ μ΄μ΄μ μ°¨μ, νμ΅λ₯ , νμ±ν ν¨μ λ±μ μ΄λν°μ κ΄ν κ΅¬μ± μ΅μ
μ΄ ν¬ν¨λ μ μμ΅λλ€. |
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True Positives (TP): 257κ°μ μνμ΄ κΈμ μΌλ‘ μ¬λ°λ₯΄κ² λΆλ₯λμμ΅λλ€. |
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True Negatives (TN): 284κ°μ μνμ΄ λΆμ μΌλ‘ μ¬λ°λ₯΄κ² λΆλ₯λμμ΅λλ€. |
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False Positives (FP): 208κ°μ μνμ΄ λΆμ μμλ λΆκ΅¬νκ³ κΈμ μΌλ‘ μλͺ» λΆλ₯λμμ΅λλ€. |
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False Negatives (FN): 251κ°μ μνμ΄ κΈμ μμλ λΆκ΅¬νκ³ λΆμ μΌλ‘ μλͺ» λΆλ₯λμμ΅λλ€. |
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μ νλ(Accuracy): μ νλλ (TP + TN) / (TP + TN + FP + FN)μΌλ‘ κ³μ°λλ©°, μ΄ κ²½μ°μλ 54.1%λ‘ κ³μ°λ©λλ€. |
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μ΄ μ νλλ λͺ¨λΈμ΄ λΆλ₯ μμ
μ μννλ λ° μμ΄ μ€κ° μ λμ μ±λ₯μ 보μ¬μ€λ€κ³ ν μ μμ΅λλ€. μΌλ°μ μΌλ‘ λΆλ₯ λͺ¨λΈμ μ νλκ° 50%λ₯Ό μ‘°κΈ λμΌλ©΄ 무μμ μΆμΈ‘보λ€λ λ«μ§λ§, μ¬μ ν λ§μ κ°μ μ΄ νμν¨μ μλ―Έν©λλ€. νΉν, FNκ³Ό FPκ° λμ κ²½μ°, λͺ¨λΈμ΄ νΉμ ν΄λμ€λ₯Ό λΆλ₯νλ λ° λ¬Έμ κ° μμμ λνλ
λλ€. |
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NSMC(Naver Sentiment Movie Corpus): 'nsmc'λ λ€μ΄λ² μν 리뷰μ λν κ°μ λΆμμ μν λ°μ΄ν°μ
μΌλ‘, λλ΅ 20λ§ κ°μ λ¦¬λ·°λ‘ κ΅¬μ±λμ΄ μμΌλ©° κ° λ¦¬λ·°μλ κΈμ νΉμ λΆμ μ λ μ΄λΈμ΄ μ§μ λμ΄ μμ΅λλ€. |
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λ°μ΄ν° μ¬μ©: μ΄ λ°μ΄ν°μ
μ μ£Όλ‘ νκ΅μ΄ ν
μ€νΈμ κ°μ λΆμμ μν΄ μ¬μ©λλ©°, λͺ¨λΈμ΄ μμ°μ΄ μ΄ν΄ λ₯λ ₯μ νμ΅νκ³ κ²μ¦νλ λ° μ μ©ν©λλ€. νλ ¨ λ°μ΄ν°λ 'train' λΆλΆμ 첫 2000κ° μνμ, ν
μ€νΈ λ°μ΄ν°λ 'test' λΆλΆμ 첫 1000κ° μνμ μ¬μ©νκ³ μμ΅λλ€. |
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ν
μ€νΈ 쑰건: |
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μνμ€ κΈΈμ΄: ν
μ€νΈμ μ
λ ₯ μνμ€ κΈΈμ΄λ μ½λμ λ°λΌ μ€μ ν μ μμΌλ, GPU λ©λͺ¨λ¦¬ λΆμ‘±μΌλ‘ 200κ³Ό κ°μ΄ μ€μ νμ΅λλ€. |
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λ°°μΉ μ¬μ΄μ¦: νμ΅κ³Ό νκ°μ μ¬μ©λλ λ°°μΉ μ¬μ΄μ¦λ κ°κ° 1λ‘ μ€μ λμ΄ μμΌλ©°, μ΄λ λ§€μ° μμ ν¬κΈ°μ
λλ€. |
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κ·ΈλΌλμΈνΈ μΆμ : λͺ¨λΈμ κ·ΈλΌλμΈνΈλ₯Ό 2κ°μ μ€ν
λ§λ€ μΆμ ν©λλ€. |
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νμ΅λ₯ : κΈ°λ³Έ μ€μ μΌλ‘λ 1e-4μ νμ΅λ₯ μ μ¬μ©νλ©°, μ½μ¬μΈ νμ΅λ₯ μ€μΌμ€λ¬(cosine learning rate scheduler)λ₯Ό μ¬μ©ν©λλ€. |
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μν¬ν¬: λͺ¨λΈμ ν μν¬ν¬(epoch) λμ νλ ¨λ©λλ€. |
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μ΅μ νκΈ°: νμ΄μ§λ μλ΄W 32λΉνΈ(paged_adamw_32bit) μ΅μ νκΈ°λ₯Ό μ¬μ©ν©λλ€. |
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μ λ°λ: λͺ¨λΈμ λ°μ λ°λ(fp16)λ₯Ό μ¬μ©νμ¬ νμ΅ν©λλ€. |
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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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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** [More Information Needed] |
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### Model Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### 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] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical 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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[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] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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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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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Framework versions |
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- PEFT 0.7.0 |