yapayzekaio / README.md
giges's picture
README.MD
46b241d verified
---
license: gpl-3.0
datasets:
- HuggingFaceFW/fineweb
- PleIAs/YouTube-Commons
- HuggingFaceM4/the_cauldron
- mlabonne/orpo-dpo-mix-40k
- nvidia/ChatQA-Training-Data
- allenai/WildChat-1M
language:
- tr
- en
metrics:
- character
- accuracy
- bertscore
- bleu
- code_eval
library_name: asteroid
tags:
- text-generation-inference
- legal
- art
---
---
license: gpl-3.0
datasets:
- HuggingFaceFW/fineweb
- PleIAs/YouTube-Commons
- HuggingFaceM4/the_cauldron
- mlabonne/orpo-dpo-mix-40k
- nvidia/ChatQA-Training-Data
- allenai/WildChat-1M
language:
- tr
- en
metrics:
- karakter
- doğruluk
- bertskor
- BLEU
- kod_değerlendirme
library_name: asteroid
tags:
- metin-oluşturma-tahmini
- hukuk
- sanat
---
# Model Kartı - Model Kimliği
Bu model kartı, yeni modeller için bir temel şablon oluşturmayı amaçlamaktadır. [Bu ham şablonu](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1) kullanarak oluşturulmuştur.
## Model Detayları
### Model Açıklaması
Bu model, metin oluşturma ve çıkarımı için kullanılır. Daha uzun bir özet sağlamak için model geliştiricisi tarafından daha fazla bilgi sağlanması beklenmektedir.
- **Geliştirici:** [MERT KORAY KARAKUŞ, Örnek Proje A.Ş.]
- **Finanse eden:** GİGES
- **Paylaşan** GİGES
- **Model türü:** Metin oluşturma ve çıkarımı
- **Dil(ler) (NLP):** Türkçe, İngilizce
- **Lisans:** GPL-3.0
- **İnce ayarlanmış model [isteğe bağlı]:** [Örnek model adı veya referans]
### Model Kaynakları [isteğe bağlı]
- **Depo:** [GitHub depo bağlantısı]
- **Makale [isteğe bağlı]:** [Makale bağlantısı]
- **Demo [isteğe bağlı]:** [Demo bağlantısı]
## Kullanımlar
### Doğrudan Kullanım
Bu model, metin oluşturma, özetleme ve benzeri görevler için doğrudan kullanılabilir.
### Aşağı Akış Kullanımı [isteğe bağlı]
Bu model, örneğin bir sohbet botu veya metin tabanlı bir uygulama içinde kullanılmak üzere ince ayarlanabilir.
### Kapsam Dışı Kullanım
Bu model, tabii ki, tıbbi teşhis veya finansal danışmanlık gibi kritik kararların alınmasında kullanılmamalıdır.
## Önyargılar, Riskler ve Sınırlamalar
Bu modelin doğruluğu, özellikle belirli konularda sınırlı olabilir. Örneğin, karmaşık hukuki veya tıbbi terimlerin doğru bir şekilde anlaşılmasını sağlamak için ek bir inceleme gerekebilir.
### Tavsiyeler
Kullanıcılar, bu modelin sınırlarını ve olası hatalarını dikkate almalıdır. Özellikle, metin tabanlı karar alma süreçlerinde tamamen bağımsız bir şekilde kullanılmamalıdır.
## Nasıl Başlanır?
Bu modelle başlamak için, Hugging Face kütüphanesini kullanarak aşağıdaki kodu kullanabilirsiniz:
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- 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
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged 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
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### 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. -->
[More Information Needed]
### Training Procedure
<!-- 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. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### 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]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[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]
**APA:**
[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
[More Information Needed]