---
base_model: meta-llama/Llama-3.2-1B
library_name: peft
license: mit
language:
- bn
metrics:
- wer
- cer
- bleu
- rouge
pipeline_tag: text-generation
---

# Bengali Regional Text to IPA Transcription (LLaMA 3.2 1B)

<!-- Provide a quick summary of what the model is/does. -->
This is a model in the series of regional Bengali text to IPA transcription models done by Team Apocalypse (us) [right here](https://huggingface.co/collections/teamapocalypseml/bengali-regional-text-to-ipa-models-65eff2c76e38bf2ff9656442).


## Model Details

LLaMA 3.1 1B parameters

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Developed by:** [S M Jishanul Islam, Sadia Ahmmed, Sahid Hossain Mustakim](https://huggingface.co/teamapocalypseml)
- **Language(s) (NLP):** [Bengali]
- **License:** [MIT]
- **Finetuned from model:** [LLaMA 3.2 1B](https://huggingface.co/meta-llama/Llama-3.2-1B)

### Direct Use

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[More Information Needed]

### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

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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.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### 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]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

<!-- Relevant interpretability work for the model goes here -->

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## 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

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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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## More Information [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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### Framework versions

- PEFT 0.14.1.dev0