Update README.md
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README.md
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@@ -30,21 +30,21 @@ This modelcard aims to be a base template for new models. It has been generated
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- **Developed by:**
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- **Funded by [optional]:**
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- **Shared by [optional]:**
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):**
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- **License:**
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- **Finetuned from model [optional]:**
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:**
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- **Paper [optional]:**
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- **Demo [optional]:**
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## Uses
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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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[
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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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### 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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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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### Recommendations
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## How to Get Started with the Model
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[More Information Needed]
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## Training Details
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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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### Training Procedure
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#### Preprocessing [optional]
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#### Training Hyperparameters
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- **Training regime:** [
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#### Speeds, Sizes, Times [optional]
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<!-- This should link to a Dataset Card if possible. -->
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#### Factors
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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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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- **Hardware Type:**
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- **Hours used:**
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- **Cloud Provider:**
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- **Compute Region:**
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- **Carbon Emitted:**
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## Technical Specifications [optional]
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### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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**APA:**
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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 [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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- **Developed by:** Md Safwan Abdullah
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- **Funded by [optional]:**
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- **Shared by [optional]:**
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** Bangla and English
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- **License:** license: afl-3.0
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- **Finetuned from model [optional]:**
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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+
- **Repository:**
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+
- **Paper [optional]:**
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+
- **Demo [optional]:**
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## Uses
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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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+
[
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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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|
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+
[
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|
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### Out-of-Scope Use
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|
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
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|
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+
[
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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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|
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+
[
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### Recommendations
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## How to Get Started with the Model
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Just start chatting.
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## Training Details
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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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+
[
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### Training Procedure
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|
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#### Preprocessing [optional]
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+
[
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#### Training Hyperparameters
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- **Training regime:** [ <!--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 should link to a Dataset Card if possible. -->
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|
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+
[
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#### Factors
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|
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
[
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### Results
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|
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+
[
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#### Summary
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|
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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:** All
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- **Hours used:**
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+
- **Cloud Provider:**
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+
- **Compute Region:**
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+
- **Carbon Emitted:**
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## Technical Specifications [optional]
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### Model Architecture and Objective
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First Ai Made By in Bangla Language, By a Bangladeshi, For All.
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### Compute Infrastructure
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.
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#### Hardware
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[
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#### Software
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+
[
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## Citation [optional]
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|
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**BibTeX:**
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+
[
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|
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**APA:**
|
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|
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+
[
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## Glossary [optional]
|
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|
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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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|
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+
[
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## More Information [optional]
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+
[
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## Model Card Authors [optional]
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+
[
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## Model Card Contact
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+
[
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